Systems and methods for monitoring a medical device

ABSTRACT

The present disclosure is related to systems and methods for monitoring a medical device. The medical device may include a tube configured to generate radiation rays and a detector configured to receive radiation rays emitted from the tube. The tube may include an anode target and a filament. The detector may include a plurality of detecting units. The method may include obtaining imaging data acquired by the detector via detecting radiation rays emitted from the tube. The method may also include determining a first feature parameter associated with the radiation rays based on the imaging data. The method may further include monitoring the medical device based on the first feature parameter associated with the radiation rays.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority of Chinese Patent Application No.201810002614.1 filed on Jan. 2, 2018, and Chinese Patent Application No.201810002878.7, filed on Jan. 2, 2018. Each of the above-referencedapplications is expressly incorporated herein by reference in theirentireties.

TECHNICAL FIELD

This disclosure generally relates to a medical imaging system, and moreparticularly, relates to systems and methods for monitoring a medicaldevice in the medical imaging system.

BACKGROUND

Medical imaging system, such as an X-ray imaging device has been widelyused in clinical examinations and medical diagnoses in recent years. TheX-ray imaging device (e.g., a medical X-ray diagnostic device, a medicalX-ray treatment device, a computed tomography (CT) device, etc.) mayscan an object using radiation rays and generate one or more imagesrelating to the object. During long-term operation of an X-ray imagingdevice, malfunctions such as a filament and unstable speed of an anodetarget, may occur due to mechanical wear, improper componentreplacement, or improper user operation, which may reduce the efficiencyof the X-ray imaging device and threaten the safety of an operator(e.g., a doctor, a technician). At present, the malfunctions in an X-rayimaging device may be detected after the malfunctions are generated.Therefore, it is desirable to provide systems and methods for monitoringthe medical device in real time and predicting the malfunctions in themedical device.

SUMMARY

According to an aspect of the present disclosure, a system formonitoring a medical device including a computer-readable storage mediumstoring executable instructions, and at least one processor incommunication with the computer-readable storage medium. The medicaldevice may include a tube configured to generate radiation rays and adetector configured to receive radiation rays emitted from the tube. Thetube may include an anode target and a filament. The detector mayinclude a plurality of detecting units. When executing the executableinstructions, the at least one processor may be configured to cause thesystem to obtain imaging data acquired by the detector via detectingradiation rays emitted from the tube. The at least one processor mayalso cause the system to determine a first feature parameter associatedwith the radiation rays based on the imaging data. The at least oneprocessor may further cause the system to monitor the medical devicebased on the first feature parameter associated with the radiation rays.

In some embodiments, the imaging data may include an intensity ofradiation rays received by each of the plurality of detecting units anda position of each of the plurality of detecting units. The at least oneprocessor may also cause the system to determine an intensitydistribution of the radiation rays received by the plurality ofdetecting units based on the imaging data. The at least one processormay further cause the system to determine the first feature parameterbased on the intensity distribution of the radiation rays.

In some embodiments, the at least one processor may also cause thesystem to obtain a first reference value corresponding to the firstfeature parameter. The at least one processor may further cause thesystem to compare the first reference value and the first featureparameter. The at least one processor may still further cause the systemto determine whether the medical device is malfunctioning based on thecomparison.

In some embodiments, the first feature parameter may include anintensity parameter relating to the radiation rays, and the firstreference value may include a reference intensity. The at least oneprocessor may also cause the system to determine that the medical deviceis malfunctioning in response to a determination that a differencebetween the intensity parameter relating to the radiation rays and thereference intensity exceeds a first threshold.

In some embodiments, the intensity parameter relating to the radiationrays may include at least one of a maximum intensity of radiation raysreceived by one of the plurality of detecting units, a minimum intensityof radiation rays received by one of the plurality of detecting units,or an average intensity of radiation rays received by the plurality ofdetecting units.

In some embodiments, the first feature parameter may include a parameterof a focus of the radiation rays. The at least one processor may alsocause the system to determine that the medical device is malfunctioningin response to a determination that the parameter of the focus of theradiation rays exceeds a second threshold. The parameter of the focus ofthe radiation rays may include at least one of a position of the focus,a size of the focus, a shape of the focus, a vibration frequency of thefocus, or a vibration amplitude of the focus.

In some embodiments, the at least one processor may also cause thesystem to estimate a service life of the anode target based on theparameter of the focus of the radiation rays.

In some embodiments, the at least one processor may also cause thesystem to adjust a parameter of a collimator of the medical device basedon the parameter of the focus of the radiation rays. The parameter ofthe collimator may include at least one of a position of an opening ofthe collimator or a collimating width of the collimator.

In some embodiments, the at least one processor may also cause thesystem to increase the collimating width of the collimator in responseto a determination that the vibration amplitude of the focus exceeds thesecond threshold.

In some embodiments, the at least one processor may also cause thesystem to adjust the position of the opening of the collimator based onthe position of the focus and the vibration amplitude of the focus.

In some embodiments, the at least one processor may also cause thesystem to determine a second feature parameter associated with acomponent of the tube based on the first feature parameter. The at leastone processor may further cause the system to determine whether themedical device is malfunctioning based on the second feature parameter.

In some embodiments, the at least one processor may also cause thesystem to obtain a second reference value corresponding to the secondfeature parameter. The at least one processor may further cause thesystem to compare the second reference value and the second featureparameter. The at least one processor may still further cause the systemto determine whether the medical device is malfunctioning based on thecomparison.

In some embodiments, the at least one processor may also cause thesystem to determine that the medical device is malfunctioning inresponse to a determination that a difference between the secondreference value and the second feature parameter exceeds a thirdthreshold.

In some embodiments, the second feature parameter may include at leastone of a rotation frequency of the anode target, a vibration amplitudeof the anode target when rotating, or a rotation speed of the anodetarget.

In some embodiments, the first feature parameter may include a positionof the focus, and the at least one processor may also cause the systemto determine a change cycle of the position of the focus. The at leastone processor may further cause the system to determine a vibrationfrequency of the focus based on the change cycle of the position of thefocus. The at least one processor may still further cause the system todetermine the rotation speed of the anode target based on the vibrationfrequency of the focus.

In some embodiments, the first feature parameter may include a positionof the focus, and the at least one processor may also cause the systemto determine a change cycle of the position of the focus. The at leastone processor may further cause the system to determine a change of theposition of the focus in the change cycle. The at least one processormay still further cause the system to determine the vibration amplitudethe anode target when rotating based on the change of the position ofthe focus in the change cycle.

In some embodiments, the at least one processor may also cause thesystem to generate a malfunctioning alert in response to a determinationthat the medical device is malfunctioning.

According to another aspect of the present disclosure, a system formonitoring a medical device including a computer-readable storage mediumstoring executable instructions, and at least one processor incommunication with the computer-readable storage medium. The medicaldevice may include a tube configured to generate radiation rays and adetector configured to receive radiation rays emitted from the tube.When executing the executable instructions, the at least one processormay be configured to cause the system to obtain a vibration accelerationof the tube. The at least one processor may also cause the system todetermine a rotation frequency of an anode target configured in thetube. the at least one processor may further cause the system todetermine a service life of the anode target based on the rotationfrequency of the anode target and a pre-set relationship between theservice life of the anode target and the rotation frequency of the anodetarget.

According to still another aspect of the present disclosure, a methodfor monitoring a medical device implemented on a system having one ormore processors and a computer-readable storage medium. The method mayinclude obtaining imaging data acquired by the detector via detectingradiation rays emitted from the tube. The method may also includedetermining a first feature parameter associated with the radiation raysbased on the imaging data. The method may further include monitoring themedical device based on the first feature parameter associated with theradiation rays.

In some embodiments, the method may also include determining a secondfeature parameter associated with a component of the tube based on thefirst feature parameter. The method may further include determiningwhether the medical device is malfunctioning based on the second featureparameter.

Additional features will be set forth in part in the description whichfollows, and in part will become apparent to those skilled in the artupon examination of the following and the accompanying drawings or maybe learned by production or operation of the examples. The features ofthe present disclosure may be realized and attained by practice or useof various aspects of the methodologies, instrumentalities andcombinations set forth in the detailed examples discussed below.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure is further described in terms of exemplaryembodiments. These exemplary embodiments are described in detail withreference to the drawings. The drawings are not to scale. Theseembodiments are non-limiting exemplary embodiments, in which likereference numerals represent similar structures throughout the severalviews of the drawings, and wherein:

FIG. 1 is a schematic diagram illustrating a medical imaging systemaccording to some embodiments of the present disclosure;

FIG. 2 is a schematic diagram illustrating an exemplary medical deviceaccording to some embodiments of the present disclosure;

FIG. 3 is a schematic diagram illustrating an exemplary tube accordingto some embodiments of the present disclosure;

FIG. 4 is a schematic diagram illustrating exemplary hardware and/orsoftware components of an exemplary computing device on which theprocessing device may be implemented according to some embodiments ofthe present disclosure;

FIG. 5 is a schematic diagram illustrating exemplary hardware and/orsoftware components of an exemplary mobile device on which theterminal(s) may be implemented according to some embodiments of thepresent disclosure;

FIG. 6 is a schematic diagram illustrating an exemplary medical deviceaccording to some embodiments of the present disclosure;

FIG. 7 is a schematic diagram illustrating an exemplary medical deviceaccording to some embodiments of the present disclosure;

FIG. 8 is a schematic diagram illustrating an exemplary monitoraccording to some embodiments of the present disclosure;

FIG. 9 is a flowchart illustrating an exemplary process for monitoring amedical device according to some embodiments of the present disclosure;

FIG. 10 is a flowchart illustrating an exemplary process for monitoringa medical device according to some embodiments of the presentdisclosure;

FIG. 11 is a flowchart illustrating an exemplary process for monitoringa medical device according to some embodiments of the presentdisclosure;

FIG. 12 is a flowchart illustrating an exemplary process for monitoringa medical device based on a vibration parameter of a focus according tosome embodiments of the present disclosure;

FIG. 13 is a flowchart illustrating an exemplary process for monitoringa medical device according to some embodiments of the presentdisclosure;

FIG. 14 is a flowchart illustrating an exemplary process for monitoringa medical device according to some embodiments of the presentdisclosure;

FIG. 15 is a flowchart illustrating an exemplary process for determininga service life of an anode target according to some embodiments of thepresent disclosure;

FIG. 16 is a flowchart illustrating an exemplary process for monitoringa medical device according to some embodiments of the presentdisclosure;

FIG. 17 is a schematic diagram illustrating an exemplary intensitydistribution of the radiation rays according to some embodiments of thepresent disclosure;

FIG. 18 is a schematic diagram illustrating an exemplary process fordetermining a size of a focus of the radiation rays according to someembodiments of the present disclosure;

FIG. 19 is a schematic diagram illustrating an exemplary process fordetermining a position of a focus of the radiation rays according tosome embodiments of the present disclosure; and

FIG. 20 is a schematic diagram illustrating an exemplary process fordetermining a vibration amplitude of a focus associated with theradiation rays according to some embodiments of the present disclosure.

DETAILED DESCRIPTION

In order to illustrate the technical solutions related to theembodiments of the present disclosure, brief introduction of thedrawings referred to in the description of the embodiments is providedbelow. Obviously, drawings described below are only some examples orembodiments of the present disclosure. Those having ordinary skills inthe art, without further creative efforts, may apply the presentdisclosure to other similar scenarios according to these drawings.Unless stated otherwise or obvious from the context, the same referencenumeral in the drawings refers to the same structure and operation.

As used in the disclosure and the appended claims, the singular forms“a,” “an,” and “the” include plural referents unless the content clearlydictates otherwise. It will be further understood that the terms“comprises,” “comprising,” “includes,” and/or “including” when used inthe disclosure, specify the presence of stated steps and elements, butdo not preclude the presence or addition of one or more other steps andelements.

Some modules of the system may be referred to in various ways accordingto some embodiments of the present disclosure, however, any number ofdifferent modules may be used and operated in a client terminal and/or aserver. These modules are intended to be illustrative, not intended tolimit the scope of the present disclosure. Different modules may be usedin different aspects of the system and method.

According to some embodiments of the present disclosure, flow charts areused to illustrate the operations performed by the system. It is to beexpressly understood, the operations above or below may or may not beimplemented in order. Conversely, the operations may be performed ininverted order, or simultaneously. Besides, one or more other operationsmay be added to the flowcharts, or one or more operations may be omittedfrom the flowchart.

Technical solutions of the embodiments of the present disclosure bedescribed with reference to the drawings as described below. It isobvious that the described embodiments are not exhaustive and are notlimiting. Other embodiments obtained, based on the embodiments set forthin the present disclosure, by those with ordinary skill in the artwithout any creative works are within the scope of the presentdisclosure.

Provided herein are systems and methods for monitoring a medical device.According to the present disclosure, the medical device may include atube configured to generate radiation rays and a detector configured toreceive radiation rays emitted from the tube. The tube may include ananode target and a filament. The detector may include a plurality ofdetecting units. The systems and the methods may obtain imaging dataacquired by the detector via detecting radiation rays emitted from thetube. The systems and the methods may also determine a first featureparameter associated with the radiation rays based on the imaging data.The first feature parameter may include an intensity parameterassociated with the radiation rays (e.g., a maximum intensity ofradiation rays received by one of the plurality of detecting units, aminimum intensity of radiation rays received by one of the plurality ofdetecting units, an average intensity of radiation rays received by theplurality of detecting units), a parameter of a focus of the radiationrays (e.g., a position of the focus, a size of the focus, a shape of thefocus, a vibration frequency of the focus, or a vibration amplitude ofthe focus), or the like, or any combination thereof. The systems and themethods may further monitor the medical device based on the firstfeature parameter associated with the radiation rays.

According to the present disclosure, the systems and the methods mayobtain a vibration acceleration of the tube. The systems and methods mayalso determine a rotation frequency of an anode target configured in thetube. The systems and method may further determine a service life of theanode target based on the rotation frequency of the anode target and apre-set relationship between the service life of the anode target andthe rotation frequency of the anode target. Accordingly, the systems andmethods may monitor one or more components of the medical device in realtime as well as predict malfunctions in the medical device, which mayimprove the efficiency of the medical device and guarantee the safety ofa user (e.g., operator).

FIG. 1 is a schematic diagram illustrating an exemplary imaging system100 according to some embodiments of the present disclosure. As shown,the imaging system 100 may include a medical device 110, a processingdevice 120, a storage 130, one or more client terminal(s) 140, and anetwork 150. In some embodiments, the medical device 110, the processingdevice 120, the storage 130, and/or the client terminal(s) 140 may beconnected to and/or communicate with each other via a wirelessconnection (e.g., the network 150), a wired connection, or a combinationthereof. The connection between the components in the imaging system 100may be variable. Merely by way of example, the medical device 110 may beconnected to the processing device 120 through the network 150, asillustrated in FIG. 1. As another example, the medical device 110 may beconnected to the processing device 120 directly. As a further example,the storage 130 may be connected to the processing device 120 throughthe network 150, as illustrated in FIG. 1, or connected to theprocessing device 120 directly. As still a further example, the clientterminal(s) 140 may be connected to the processing device 120 throughthe network 150, as illustrated in FIG. 1, or connected to theprocessing device 120 directly.

The medical device 110 may be configured to scan an object usingradiation rays and generate imaging data used to generate one or moreimages relating to the object. In some embodiments, the medical device110 may transmit the imaging data to the processing device 120 forfurther processing (e.g., generating one or more images). In someembodiments, the imaging data and/or the one or more images associatedwith the object may be stored in the storage 130 and/or the processingdevice 120.

In some embodiments, the medical device 110 may be a computed tomography(CT) scanner, a suspended X-ray imaging device, a digital radiography(DR) scanner (e.g., a mobile digital X-ray imaging device), a digitalsubtraction angiography (DSA) scanner, a dynamic spatial reconstruction(DSR) scanner, an X-ray microscopy scanner, a multimodality scanner, orthe like, or a combination thereof. Exemplary multi-modality scannersmay include a computed tomography-positron emission tomography (CT-PET)scanner, a computed tomography-magnetic resonance imaging (CT-MRI)scanner, etc. The object may be biological or non-biological. Merely byway of example, the object may include a patient, a man-made object,etc. As another example, the object may include a specific portion,organ, and/or tissue of a patient. For example, the object may includehead, brain, neck, body, shoulder, arm, thorax, cardiac, stomach, bloodvessel, soft tissue, knee, feet, or the like, or any combinationthereof.

In some embodiments, the medical device 110 may include a gantry 112, adetector 114, a radiation source 116, and a table 118. A subject may beplaced on the table 118 for scanning. In some embodiments, the radiationsource 116 may include a tube (not shown in FIG. 1) and a collimator(not shown in FIG. 1). The tube may generate and/or emit radiation beamstravelling toward the object. The radiation may include a particle ray,a photon ray, or the like, or a combination thereof. In someembodiments, the radiation may include a plurality of radiationparticles (e.g., neutrons, protons, electron, μ-mesons, heavy ions), aplurality of radiation photons (e.g., X-ray, a γ-ray, ultraviolet,laser), or the like, or a combination thereof. In some embodiments, thetube may include an anode target and a filament. The filament may beconfigured to generate electrons to bombard the anode target. The anodetarget may be configured to generate the radiation rays (e.g., X-rays)when the electrons bombard the anode target. The collimator may beconfigured to control the irradiation region (i.e., radiation field) onthe object. The collimator may also be configured to adjust theintensity and/or the number of the radiation beams that irradiate on theobject.

The detector 114 may detect radiation beams. In some embodiments, thedetector 114 may be configured to produce an analog electrical signalthat represents the intensity of the received X-rays, including theattenuated beam, as it passes through the object. In some embodiments,the detector 114 may include a plurality of detecting units. Thedetecting units may include a scintillation detector (e.g., a cesiumiodide detector), a gas detector, etc. The plurality of detecting unitsof the detector may be arranged in any suitable manner, for example, asingle row, two rows, or another number of rows. More descriptions ofcomponents in the medical device 110 may be found elsewhere in thepresent disclosure (e.g., FIG. 2 and the descriptions thereof).

The processing device 120 may process data and/or information obtainedfrom the medical device 110, the storage 130, and/or the clientterminal(s) 140. For example, the processing device 120 may reconstructan image relating to at least one part of an object (e.g., a tumor)based on imaging data collected by the medical device 110. As anotherexample, the processing device 120 may determine feature parametersassociated with the radiation rays emitted from the tube or one or morecomponents of the medical device (e.g., the anode target). As a furtherexample, the processing device 120 may determine whether the medicaldevice is malfunctioning based on the determined feature parameter. Asstill another example, the processing device 120 may generate amalfunctioning alert in response to a determination that the medicaldevice is malfunctioning. In some embodiments, the processing device 120may be a single server or a server group. The server group may becentralized or distributed. In some embodiments, the processing device120 may be local or remote. For example, the processing device 120 mayaccess information and/or data from the medical device 110, the storage130, and/or the client terminal(s) 140 via the network 150. As anotherexample, the processing device 120 may be directly connected to themedical device 110, the client terminal(s) 140, and/or the storage 130to access information and/or data. In some embodiments, the processingdevice 120 may be implemented on a cloud platform. For example, thecloud platform may include a private cloud, a public cloud, a hybridcloud, a community cloud, a distributed cloud, an inter-cloud, amulti-cloud, or the like, or a combination thereof.

The storage 130 may store data, instructions, and/or any otherinformation. In some embodiments, the storage 130 may store dataobtained from the medical device 110, the processing device 120, and/orthe client terminal(s) 140. For example, the storage 130 may store oneor more scan parameters. As another example, the storage 130 may storethe feature parameter associated with the radiation rays and/or one ormore components of the medical device 110 (e.g., the anode target)determined by the processing device 120. As still an example, thestorage 130 may store the malfunctioning information of the medicaldevice 110. In some embodiments, the storage 130 may store data and/orinstructions that the processing device 120 may execute or use toperform exemplary methods described in the present disclosure. In someembodiments, the storage 130 may include a mass storage, removablestorage, a volatile read-and-write memory, a read-only memory (ROM), orthe like, or any combination thereof. Exemplary mass storage may includea magnetic disk, an optical disk, a solid-state drive, etc. Exemplaryremovable storage may include a flash drive, a floppy disk, an opticaldisk, a memory card, a zip disk, a magnetic tape, etc. Exemplaryvolatile read-and-write memory may include a random access memory (RAM).Exemplary RAM may include a dynamic RAM (DRAM), a double date ratesynchronous dynamic RAM (DDR SDRAM), a static RAM (SRAM), a thyristorRAM (T-RAM), and a zero-capacitor RAM (Z-RAM), etc. Exemplary ROM mayinclude a mask ROM (MROM), a programmable ROM (PROM), an erasableprogrammable ROM (EPROM), an electrically erasable programmable ROM(EEPROM), a compact disk ROM (CD-ROM), and a digital versatile disk ROM,etc. In some embodiments, the storage 130 may be implemented on a cloudplatform as described elsewhere in the disclosure.

In some embodiments, the storage 130 may be connected to the network 150to communicate with one or more other components in the imaging system100 (e.g., the processing device 120, the client terminal(s) 140). Oneor more components in the imaging system 100 may access the data orinstructions stored in the storage 130 via the network 150. In someembodiments, the storage 130 may be part of the processing device 120.

The client terminal(s) 140 may be connected to and/or communicate withthe medical device 110, the processing device 120, and/or the storage130. For example, the client terminal(s) 140 may obtain image dataacquired by the medical device 110 and transmit the image data to theprocessing device 120 to be processed. As another example, the clientterminal(s) 140 may receive a malfunctioning alert in response to adetermination that the medical device is malfunctioning. As stillanother example, a user may provide an input via a user interfaceimplemented on the client terminal(s) 140. The input may include arequest for determining whether the medical is malfunctioning. The inputmay also include one or more scan parameters, image constructionparameters, reference values, etc., as described elsewhere in thepresent disclosure. In some embodiments, the client terminal(s) 140 mayinclude a mobile device 141, a tablet computer 142, a laptop computer143, or the like, or any combination thereof. For example, the mobiledevice 140-1 may include a mobile phone, a personal digital assistant(PDA), a gaming device, a navigation device, a point of sale (POS)device, a laptop, a tablet computer, a desktop, or the like, or anycombination thereof. In some embodiments, the client terminal(s) 140 mayinclude an input device, an output device, etc. The input device mayinclude alphanumeric and other keys that may be input via a keyboard, atouchscreen (for example, with haptics or tactile feedback), a speechinput, an eye tracking input, a brain monitoring system, or any othercomparable input mechanism. The input information received through theinput device may be transmitted to the processing device 120 via, forexample, a bus, for further processing. Other types of the input devicemay include a cursor control device, such as a mouse, a trackball, orcursor direction keys, etc. The output device may include a display, aspeaker, a printer, or the like, or a combination thereof. In someembodiments, the client terminal(s) 140 may be part of the processingdevice 120.

The network 150 may include any suitable network that can facilitate theexchange of information and/or data for the imaging system 100. In someembodiments, one or more components of the imaging system 100 (e.g., themedical device 110, the processing device 120, the storage 130, theclient terminal(s) 140, etc.) may communicate information and/or datawith one or more other components of the imaging system 100 via thenetwork 150. For example, the processing device 120 may obtain imagedata from the medical device 110 via the network 150. As anotherexample, the processing device 120 may obtain user instruction(s) fromthe client terminal(s) 140 via the network 150. The network 150 may beand/or include a public network (e.g., the Internet), a private network(e.g., a local area network (LAN), a wide area network (WAN)), etc.), awired network (e.g., an Ethernet network), a wireless network (e.g., an802.11 network, a Wi-Fi network, etc.), a cellular network (e.g., a LongTerm Evolution (LTE) network), a frame relay network, a virtual privatenetwork (VPN), a satellite network, a telephone network, routers, hubs,witches, server computers, and/or any combination thereof. For example,the network 150 may include a cable network, a wireline network, afiber-optic network, a telecommunications network, an intranet, awireless local area network (WLAN), a metropolitan area network (MAN), apublic telephone switched network (PSTN), a Bluetooth™ network, aZigBee™ network, a near field communication (NFC) network, or the like,or any combination thereof. In some embodiments, the network 150 mayinclude one or more network access points. For example, the network 150may include wired and/or wireless network access points such as basestations and/or internet exchange points through which one or morecomponents of the imaging system 100 may be connected to the network 150to exchange data and/or information.

This description is intended to be illustrative, and not to limit thescope of the present disclosure. Many alternatives, modifications, andvariations will be apparent to those skilled in the art. The features,structures, methods, and other characteristics of the exemplaryembodiments described herein may be combined in various ways to obtainadditional and/or alternative exemplary embodiments. For example, thestorage 130 may be a data storage including cloud computing platforms,such as public cloud, private cloud, community, and hybrid clouds, etc.As another example, the processing device 120 and the client terminal(s)140 may be integrated into a console (e.g., the console 220 as shown inFIG. 2). However, those variations and modifications do not depart thescope of the present disclosure.

FIG. 2 is a schematic diagram illustrating an exemplary medical device110 according to some embodiments of the present disclosure. Asillustrated in the FIG. 2, the medical device 110 may include a power210, a console 220, a high-voltage generator 230, a detector 240, acollimator 250, and a tube 260. In some embodiments, the power 210, theconsole 220, the high-voltage generator 230, the detector 240, thecollimator 250, and/or the tube 260 may be connected to and/orcommunicate with each other via a wireless connection, a wiredconnection, or a combination thereof. The connection between thecomponents of the medical device 110 may be variable. For example, thepower 210 may be connected to the console 220 electrically. As anotherexample, the console 220 may be connected to the detector 240 and thehigh-voltage generator 230 via a wireless connection (e.g., a network),a wired connection (e.g., a cable), or a combination thereof. As stillanother example, the high-voltage generator 230 may be electricallyconnected to the tube 260 via a cable.

The power 210 may be configured to power one or more components of themedical device 110, such as the console 220, the detector 240, thecollimator 250, etc. The console 220 may be configured to controloperation states of one or more components of the medical device 110,such as the high-voltage generator 230, the detector 240, and the tube260. For example, the console 220 may control the high-voltage generator230 to generate a high-voltage for the tube 260 according to aninstruction input by a user or a default setting of the imaging system100, such as scan parameters. As another example, the console 220 maycontrol the detector 240 to collect image data. A user (e.g., anoperator) may be in communication with the medical device 110 via theconsole. For example, a user may set scan parameters of the medicaldevice 110 via the console 220. Exemplary scan parameters may include atube current/voltage, an integration time of a detector, a size of thefocus, a response of a detector, a response of a tube, a position of anopening of the collimator, a collimating width of the collimator, afield of view (FOV), etc.

The high-voltage generator 230 may be configured to generate ahigh-voltage and current for the tube 260. The tube 260 may include afilament 261 and an anode target 262. The high-voltage generated by thehigh-voltage generator 230 may trigger the filament 261 to emit aplurality of electrons to form an electron beam. The emitted electronbeam may be impinged on a small area (i.e., the focus) on the anodetarget 262 to generate radiation beams (e.g., X-rays beams) consistingof high-energetic photons. The radiation beams may be collimated by thecollimator 250 and project onto a surface of the detector 240. Thedetector 240 may detect the radiation beams collimated by the collimator250 and generate data associated with the projection formed by thedetected radiation beams (e.g., X-rays beams) as image data (alsoreferred to as projection data). In some embodiments, the detector mayinclude a plurality of detecting units. The plurality of detecting unitsof the detector may be arranged in any suitable manner, for example, asingle row, two rows, or another number of rows. The image data (i.e.,projection data) may be transmitted to the console 220 for furtherprocessing. For example, a processor in the console 220 may determine anintensity distribution of the radiation beams (or radiation rays)relative to the plurality of detecting units. The processor in theconsole 220 may further determine one or more feature parametersassociated with the radiation beams, one or more parameters associatedwith one or more components of the medical device 110 (e.g., the anodetarget 262), etc. The processor in the console 220 may also determinewhether the medical device 110 is malfunctioning based on the one ormore feature parameters associated with the radiation beams, one or moreparameters associated with one or more components of the medical device110 (e.g., the anode target 262), etc.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. For example, themedical device 110 may further include a gantry configured to supportone or more components of the medical device 110, such as, the detector240, the collimator 250, and the tube 260.

FIG. 3 is a schematic diagram illustrating an exemplary tube 300according to some embodiments of the present disclosure. In someembodiments, the tube 300 may be an example of the tube 260 or a portionof the tube 260. As illustrated in FIG. 3, the tube 300 may include ashell 310, an anode target 320, and a sensor 330.

In some embodiments, the shell 310 may be configured to support at leastone of a filament (not shown in FIG. 3), the anode target 320 and thesensor 330, and provide a certain condition for radiation beamsgenerated by the filament, for example, a certain vacuum degree. Thetube 300 may generate and/or emit radiation beams travelling toward anobject as described elsewhere in the present disclosure (e.g., FIG. 2and the descriptions thereof). In some embodiments, the rotating of theanode target 320 configured in the tube 300 may be driven by a motor,which may cause a vibration of the shell 310, etc. The sensor 330 may befixedly mounted on the shell 310 of the tube 300 in a region (e.g., aregion 340) adjacent to the anode target 320. The sensor 330 may obtainan acceleration signal of the shell 310 when the anode target 320rotates. In some embodiments, the sensor 330 may be a vibration sensor(e.g., an acceleration sensor). The vibration acceleration of the tube300 may be determined based on the acceleration signal. In someembodiments, a rotation frequency of the anode target 320 configured inthe tube 300 may be determined based on the vibration acceleration ofthe tube 300. A service life of the anode target 320 may be determinedbased on the rotation frequency of the anode target 320 and a pre-setrelationship between the service life of the anode target 320 and therotation frequency of the anode target 320 as described elsewhere in thepresent disclosure (e.g., FIG. 15 and the descriptions thereof).

FIG. 4 is a schematic diagram illustrating exemplary hardware and/orsoftware components of an exemplary computing device 400 on which theprocessing device 120 may be implemented according to some embodimentsof the present disclosure. As illustrated in FIG. 4, the computingdevice 400 may include a processor 410, a storage 420, an input/output(I/O) 430, and a communication port 440.

The processor 410 may execute computer instructions (e.g., program code)and perform functions of the processing device 120 in accordance withtechniques described herein. The computer instructions may include, forexample, routines, programs, objects, components, data structures,procedures, modules, and functions, which perform particular functionsdescribed herein. For example, the processor 410 may process imagingdata obtained from the medical device 110, the client terminal(s) 140,the storage 130, and/or any other component of the imaging system 100.In some embodiments, the processor 410 may include one or more hardwareprocessors, such as a microcontroller, a microprocessor, a reducedinstruction set computer (RISC), an application specific integratedcircuits (ASICs), an application-specific instruction-set processor(ASIP), a central processing unit (CPU), a graphics processing unit(GPU), a physics processing unit (PPU), a microcontroller unit, adigital signal processor (DSP), a field programmable gate array (FPGA),an advanced RISC machine (ARM), a programmable logic device (PLD), anycircuit or processor capable of executing one or more functions, or thelike, or any combination thereof.

Merely for illustration, only one processor is described in thecomputing device 400. However, it should be noted that the computingdevice 400 in the present disclosure may also include multipleprocessors. Thus operations and/or method steps that are performed byone processor as described in the present disclosure may also be jointlyor separately performed by the multiple processors. For example, if inthe present disclosure the processor of the computing device 400executes both process A and process B, it should be understood thatprocess A and process B may also be performed by two or more differentprocessors jointly or separately in the computing device 400 (e.g., afirst processor executes process A and a second processor executesprocess B, or the first and second processors jointly execute processesA and B).

The storage 420 may store data/information obtained from the medicaldevice 110, the client terminal(s) 140, the storage 130, and/or anyother component of the imaging system 100. The storage 420 may besimilar to the storage 130 described in connection with FIG. 1, and thedetailed descriptions are not repeated here.

The I/O 430 may input and/or output signals, data, information, etc. Insome embodiments, the I/O 430 may enable a user interaction with theprocessing device 120. In some embodiments, the I/O 430 may include aninput device and an output device. Examples of the input device mayinclude a keyboard, a mouse, a touchscreen, a microphone, a soundrecording device, or the like, or a combination thereof. Examples of theoutput device may include a display device, a loudspeaker, a printer, aprojector, or the like, or a combination thereof. Examples of thedisplay device may include a liquid crystal display (LCD), alight-emitting diode (LED)-based display, a flat panel display, a curvedscreen, a television device, a cathode ray tube (CRT), a touchscreen, orthe like, or a combination thereof.

The communication port 440 may be connected to a network (e.g., thenetwork 150) to facilitate data communications. The communication port240 may establish connections between the processing device 120 and themedical device 110, the client terminal(s) 140, and/or the storage 130.The connection may be a wired connection, a wireless connection, anyother communication connection that can enable data transmission and/orreception, and/or any combination of these connections. The wiredconnection may include, for example, an electrical cable, an opticalcable, a telephone wire, or the like, or any combination thereof. Thewireless connection may include, for example, a Bluetooth™ link, aWi-Fi™ link, a WiMax™ link, a WLAN link, a ZigBee link, a mobile networklink (e.g., 3G, 4G, 5G), or the like, or any combination thereof. Insome embodiments, the communication port 440 may be and/or include astandardized communication port, such as RS232, RS485. In someembodiments, the communication port 440 may be a specially designedcommunication port. For example, the communication port 440 may bedesigned in accordance with the digital imaging and communications inmedicine (DICOM) protocol.

FIG. 5 is a schematic diagram illustrating exemplary hardware and/orsoftware components of an exemplary mobile device 500 on which theclient terminal(s) 140 may be implemented according to some embodimentsof the present disclosure.

As illustrated in FIG. 5, the mobile device 500 may include acommunication platform 510, a display 520, a graphics processing unit(GPU) 530, a central processing unit (CPU) 540, an I/O 550, a memory560, and a storage 590. In some embodiments, any other suitablecomponent, including but not limited to a system bus or a controller(not shown), may also be included in the mobile device 500.

In some embodiments, the communication platform 510 may be configured toestablish a connection between the mobile device 500 and othercomponents of the imaging system 100, and enable data and/or signal tobe transmitted between the mobile device 500 and other components of theimaging system 100. For example, the communication platform 510 mayestablish a wireless connection between the mobile device 500 and themedical device 110, and/or the processing device 120. The wirelessconnection may include, for example, a Bluetooth™ link, a Wi-Fi™ link, aWiMax™ link, a WLAN link, a ZigBee link, a mobile network link (e.g.,3G, 4G, 5G), or the like, or any combination thereof. The communicationplatform 510 may also enable the data and/or signal between the mobiledevice 500 and other components of the imaging system 100. For example,the communication platform 510 may transmit data and/or signals inputtedby a user to other components of the imaging system 100. The inputteddata and/or signals may include a user instruction. As another example,the communication platform 510 may receive data and/or signalstransmitted from the processing device 120. The received data and/orsignals may include imaging data acquired by a detector of the medicaldevice 110.

In some embodiments, a mobile operating system (OS) 570 (e.g., iOS™Android™, Windows Phone™, etc.) and one or more applications (App(s))580 may be loaded into the memory 560 from the storage 590 in order tobe executed by the CPU 540. The applications 580 may include a browseror any other suitable mobile apps for receiving and renderinginformation respect to imaging process or other information from theprocessor 510. User interactions with the information stream may beachieved via the I/O 550 and provided to the processing device 120and/or other components of the imaging system 100 via the network 150.

To implement various modules, units, and their functionalities describedin the present disclosure, computer hardware platforms may be used asthe hardware platform(s) for one or more of the elements describedherein. A computer with user interface elements may be used to implementa personal computer (PC) or other type of work station or terminaldevice, although a computer may also act as a server if appropriatelyprogrammed. It is believed that those skilled in the art are familiarwith the structure, programming and general operation of such computerequipment and as a result the drawings should be self-explanatory.

FIG. 6 is a schematic diagram illustrating an exemplary medical device600 according to some embodiments of the present disclosure. In someembodiments, the medical device 600 may be an example of the medicaldevice 110 or a portion of the medical device 110. As illustrated in theFIG. 6, the medical device 600 may include a sensor 602, a processor604, a monitor 606, and a storage 608. The medical device 600 may alsoinclude a tube, a detector, a collimator, etc., not shown in FIG. 6 asdescribed elsewhere in the present disclosure (e.g., FIGS. 1-3 and thedescriptions thereof). In some embodiments, the sensor 602, theprocessor 604, the monitor 606, and/or the storage 608 may be connectedto and/or communicate with each other via a wireless connection, a wiredconnection, or a combination thereof. The connection between thecomponents of the medical device 600 may be variable. The wiredconnection may include, for example, an electrical cable, an opticalcable, a telephone wire, or the like, or any combination thereof. Thewireless connection may include, for example, a Bluetooth™ link, aWi-Fi™ link, a WiMax™ link, a WLAN link, a ZigBee link, a mobile networklink (e.g., 3G, 4G, 5G), or the like, or any combination thereof. Insome embodiments, the components of the medical device 600 may beconnected to and/or communicate with each other via a standardizedcommunication protocol, for example, CANopen protocol, SPI protocol,RS485, etc. For example, the processor 604 may be connected to thesensor 602 to obtain a vibration acceleration of the tube. As anotherexample, the monitor 606 may be connected to the processor 604 to obtaina rotation frequency of an anode target configured in the tube.

The sensor 602 may be configured to obtain an acceleration signal of ashell of the tube. In some embodiments, the sensor 602 may obtain theacceleration signal of the shell of the tube when an anode targetconfigured in the tube rotates. The vibration acceleration of the tubemay be determined based on the acceleration signal. The sensor 602 maybe similar with or same as the sensor 330 as described in FIG. 3. Forexample, the sensor 602 may be mounted on the shell of the tube.

The processor 604 may determine a rotation frequency of an anode targetconfigured in a tube. In some embodiments, the processor 604 maydetermine the rotation frequency of the anode target based on avibration acceleration of the shell of the tube. In some embodiments,the processor 604 may perform one or more operations on the vibrationacceleration of the tube to determine the rotation frequency of theanode target. For example, the processor 604 may perform a transformoperation on the vibration acceleration of the tube to determinespectrum information associated with the rotation frequency of the anodetarget. Merely by ways of example, the transform operation may include aFourier transform. The processor 604 may determine the rotationfrequency of the anode target based on the spectrum informationassociated with the rotation frequency of the anode target.

The monitor 606 may determine a service life of an anode target. In someembodiments, the monitor 606 may determine the service life of the anodetarget based on the rotation frequency of the anode target and a pre-setrelationship between the service life of the anode target and therotation frequency of the anode target. In some embodiments, the pre-setrelationship between the service life of the anode target and therotation frequency of the anode target may be determined based onhistorical data associated with the service life of the anode target andthe rotation frequency of the anode target. For example, the historicaldata associated with the service life of the anode target and therotation frequency of the anode target may include the rotationfrequencies of one or more reference anode targets and correspondingservice lives, operating states, such as the rotation frequency of areference anode target when the reference anode target retires and thecorresponding service life. The pre-set relationship between the servicelife of the anode target and the rotation frequency of the anode targetmay be determined by performing a polynomial fitting or linear fittingbased on the historical data associated with the service life of theanode target and the rotation frequency of the anode target.

In some embodiments, the pre-set relationship between the service lifeof the anode target and the rotation frequency of the anode target maybe stored in a storage device (e.g., the storage 130, the storage 608)of the imaging system 100 or an external storage device. The monitor 606may access the storage device and retrieve the pre-set relationshipbetween the service life of the anode target and the rotation frequencyof the anode target.

In some embodiments, the service life of the anode target may betransmitted to a client terminal (e.g., the client terminal 140) fordisplay. The service life of the anode target may be presented in theclient terminal in the form of text, audio, graph, video, or the like,or any combination thereof. For example, a text message, a voicemessage, or a video message including the service life of the anodetarget may be transmitted to the client terminal 140.

The monitor 606 may monitor operating states of one or more componentsof the medical device 600 and predict malfunctions in the medical device600, which may avoid a sudden malfunction in the medical device 600 whenthe medical device 600 is in operation.

The storage 608 may store data, instructions, and/or any otherinformation relating to the imaging system 100. In some embodiments, thestorage 608 may store data obtained from the sensor 602, the processor604, and/or the monitor 606. For example, the storage 608 may store anacceleration signal of a shell of a tube acquired by the sensor 602. Asanother example, the storage 608 may store a rotation frequency of ananode target determined by the processor 604. As still another example,the storage 608 may store a pre-set relationship between a service lifeof an anode target and a rotation frequency of an anode target. In someembodiments, the storage 608 may store data and/or instructions that theprocessor 604 and/or the monitor 606 may execute or use to performexemplary methods described in the present disclosure. For example, thestorage 608 may store instructions that the processor 604 may execute oruse to determine a rotation frequency of an anode target. In someembodiments, the storage 608 may be connected to and/or to communicatewith one or more other components in the medical device 600. One or morecomponents in the medical device 600 may access the data or instructionsstored in the storage 608. In some embodiments, the storage 608 mayinclude a mass storage, a removable storage, a volatile read-and-writememory, a read-only memory (ROM), or the like, or any combinationthereof as described elsewhere in the present disclosure.

FIG. 7 is a schematic diagram illustrating an exemplary medical device700 according to some embodiments of the present disclosure. In someembodiments, the medical device 700 may be an example of the medicaldevice 110 or a portion of the medical device 110.

As illustrated in the FIG. 7, the medical device 700 may include a tube710, a detector 720, and a monitor 730. The tube 720 may include afilament 711 and an anode target 712. The filament 711 may generate alarge number of electrons to form an electron beam when triggered by ahigh voltage. The emitted electron beam may be impinged on a small areaon the anode target 712 to generate X-rays beams consisting ofhigh-energetic photons. The small area on the anode target 712 may alsobe referred to as a focus of the X-rays beams. The focus of the X-raysbeams may be defined by one or more parameters including the position ofthe focus, the size of the focus, the shape of the focus, the vibrationfrequency of the focus, the vibration amplitude of the focus, etc., asdescribed elsewhere in the present disclosure. In some embodiments, theX-rays beams may be collimated by a collimator and project onto asurface of the detector 720. The detector 720 may receive radiation raysthat projects or impinges on the detector 720 and generate imaginingdata, that may be also referred to as projection data. In someembodiments, the detector 720 may include a plurality of detectingunits. The plurality of detecting units of the detector 720 may bearranged in any suitable manner, for example, a single row, two rows, oranother number of rows. A parameter of radiation rays received by adetecting unit may include an intensity of the radiation rays and aposition of the detecting unit. The projection data generated by thedetecting unit may indicate the intensity of the radiation rays and theposition of the detecting unit. The intensity of radiation rays receivedby different detecting units may be different or the same. The imagingdata (e.g., the projection data) generated by the detector 720 maydenote the intensity distribution of the radiation rays relative to theplurality of detecting units.

The monitor 730 may monitor the medical device 700 based on imagingdata. In some embodiments, the monitor 730 may monitor one or morecomponents of the medical device 700 (e.g., the filament 711, the anodetarget 712) based on the imaging data acquired by the detector 720. Insome embodiments, the monitor 730 may include an acquisition module 831and a processing module 832. The processing module 832 may include acalculating unit 8321, a parameter determination unit 8322, a referencevalue acquisition unit 8323, and a judging unit 8324. More descriptionsregarding the monitor 730 may be found elsewhere in the presentdisclosure (e.g., FIG. 8 and the descriptions thereof).

FIG. 8 is a schematic diagram illustrating an exemplary monitor 730according to some embodiments of the present disclosure. The monitor 730may include an acquisition module 831 and a processing module 832. Theprocessing module 832 may include a calculating unit 8321, a parameterdetermination unit 8322, a reference value acquisition unit 8323, and ajudging unit 8324. The modules and/or the units may be hardware circuitsof at least part of the monitor 730. The modules and/or the units mayalso be implemented as an application or set of instructions read andexecuted by the monitor 730. Further, the modules and/or the units maybe any combination of the hardware circuits and theapplication/instructions. For example, the modules and/or the units maybe the part of the monitor 730 when the monitor 730 is executing theapplication/set of instructions.

The acquisition module 831 may obtain imaging data acquired by adetector. The imaging data may be generated by the detector viadetecting radiation rays emitted from a tube of a medical device. Theimaging data (e.g., projection data) generated by the detector mayindicate the intensity distribution of the radiation rays relative to aplurality of detecting units of the detector. In some embodiments, theacquisition module 831 may continuously or periodically obtain theimaging data from the medical device (e.g., the detector). For example,the acquisition module 831 may obtain the imaging data from the detectorbased on a Nyquist-Shannon sampling theorem. Additionally oralternatively, the detector of the medical device may transmit theimaging data to the storage (e.g., the storage 130, the storage 420) viathe network 150 continuously or periodically. The acquisition module 831may access the storage and retrieve the imaging data. In someembodiments, the acquisition module 831 may obtain an image (e.g., anX-ray image) associated with the imaging data from the medical device110 or the storage 130. The acquisition module 831 may determine theimaging data (e.g., the projection data) by performing a transformoperation (e.g., a Fourier transform).

In some embodiments, the acquisition module 831 may transfer the imagedata to other modules of the monitor 730 for further processing. Forexample, the acquisition module 831 may transfer the image data to thecalculating unit 8321 for determining an intensity distribution of theradiation rays received by the plurality of detecting units. As anotherexample, the acquisition module 831 may transfer the image data to theparameter determination unit 8322 for determining an intensity parameterrelating to radiation rays.

The calculating unit 8321 may determine an intensity distribution of theradiation rays received by a plurality of detecting units of a detector.In some embodiments, the calculating unit 8321 may determine theintensity distribution of the radiation rays received by the pluralityof detecting units based on an intensity of radiation rays received byeach of the plurality of detecting units and a position of each of theplurality of detecting units.

In some embodiments, the calculating unit 8321 may transfer theintensity distribution of the radiation rays received by the pluralityof detecting units to other modules of the monitor 730 for furtherprocessing. For example, the calculating unit 8321 may transfer theintensity distribution of the radiation rays received by the pluralityof detecting units to the parameter determination unit 8322 fordetermining an intensity parameter relating to radiation rays.

The parameter determination unit 8322 may determine a first featureparameter associated with radiation rays. The first feature parametermay represent characteristics of the radiation rays, which may indicateoperating states of one or more components of the medical device (e.g.,the anode target, the filament, the collimator, etc.). In someembodiments, the first feature parameter may include an intensityparameter relating to the radiation rays received by the detector, aparameter of a focus of the radiation rays, or the like, or anycombination thereof. The intensity parameter relating to the radiationrays may relate to the intensity of radiation rays received by at leastone portion of the plurality of detecting units in the detector. Theintensity parameter relating to the radiation rays may include a maximumintensity of radiation rays received by one of the plurality ofdetecting units, a minimum intensity of radiation rays received by oneof the plurality of detecting units, an average intensity of theradiation rays received by the plurality of detecting units, or thelike, or any combination thereof.

In some embodiments, the parameter determination unit 8322 may determinethe intensity parameter relating to radiation rays (e.g., the maximumintensity, the minimum intensity, the average intensity, etc.) byanalyzing the intensity distribution of the radiation rays. For example,the parameter determination unit 8322 may determine the maximumintensity of radiation rays by comparing intensities of radiation rayswith each other in the intensity distribution of the radiation rays. Insome embodiments, the parameter determination unit 8322 may determinethe parameter of the focus based on the intensity distribution of theradiation rays. For example, the parameter determination unit 8322 maydetermine a position of focus based on the maximum of radiation raysreceived by the detector. More descriptions of the intensitydistribution of the radiation rays may be found elsewhere in the presentdisclosure (e.g., FIGS. 11, 16-20, and the descriptions thereof).

In some embodiments, the parameter determination unit 8322 may determinea second feature parameter associated with a component of a tube basedon the first feature parameter. The second feature parameter may includea rotation frequency of the anode target, a vibration amplitude of theanode target when rotating, a rotation speed of the anode target, or thelike, or any combination thereof. For example, the parameterdetermination unit 8322 may determine the rotation speed of the anodetarget of the tube based on a vibration frequency of the focus asdescribed in connection with FIG. 13 and the descriptions thereof. Asanother example, the parameter determination unit 8322 may determine thevibration amplitude of the anode target when rotating based on thevibration amplitude of the focus as described in connection with FIG. 14and the descriptions thereof.

In some embodiments, the parameter determination unit 8322 may transferthe first feature parameter and/or the second feature parameter to othermodules of the monitor 730 for further processing. For example, theparameter determination unit 8322 may transfer the first featureparameter and/or the second feature parameter to the judging unit 8324for monitoring one or more components of the medical device.

The reference value acquisition unit 8323 may obtain a reference valuecorresponding to a feature parameter (e.g., a first feature parameter, asecond feature parameter). As used herein, a reference valuecorresponding to a specific feature parameter may refer to a desiredvalue of the specific feature parameter when the medical device isfunctioning well. The reference value corresponding to a specificfeature parameter may be an empirical value determined based onstatistical analysis of data collected from a well-functioning medicaldevice. In some embodiments, the reference value acquisition unit 8323may obtain the reference value from one or more components of theimaging system 100, such as a storage device (e.g., the storage 130), ora terminal (e.g., a client terminal 140). In some embodiments, thereference value acquisition unit 8323 may obtain the reference valuefrom an external data source or storage connected to the imaging system100 via the network 150.

In some embodiments, the reference value acquisition unit 8323 maytransfer the reference value to other modules of the monitor 730 forfurther processing. For example, the reference value acquisition unit8323 may transfer the reference value to the judging unit 8324 formonitoring one or more components of the medical device.

The judging unit 8324 may determine whether the medical device ismalfunctioning based on a feature parameter (e.g., a first featureparameter, a second feature parameter) and a corresponding referencevalue.

The judging unit 8324 may determine whether the medical device ismalfunctioning based on the first feature parameter (e.g., the intensityparameter associated with the radiation rays, the vibration frequency ofthe focus, the vibration amplitude of the focus) and a first referencevalue corresponding to the first feature parameter. For example, thejudging unit 8324 may determine whether the medical device ismalfunctioning based on a difference between the first feature parameterand the first reference value. The judging unit 8324 may determinewhether the difference between the first feature parameter and the firstreference value exceeds a first threshold. In response to adetermination that the difference between the first feature parameterand the first reference value exceeds the first threshold, the judgingunit 8324 may determine that the medical device is malfunctioning. Asanother example, the judging unit 8324 may determine whether the firstfeature parameter exceeds (or less than) the first reference value. Inresponse to a determination that the first feature parameter exceeds (orless than) the first reference value, the judging unit 8324 maydetermine that the medical device is malfunctioning. In other words, thefirst feature parameter and the medical device is abnormal. The firstthreshold and/or the first reference value may be preset manually by auser, or may be determined by one or more components of the imagingsystem 100 according to different situations.

The judging unit 8324 may determine whether the medical device ismalfunctioning based on the second feature parameter (e.g., the rotationspeed of the anode target, the vibration amplitude of the anode targetwhen rotating) and a second reference value corresponding to the secondfeature parameter. For example, the judging unit 8324 may determinewhether the second feature parameter exceeds (or lowers than) the secondreference value. In response to a determination that the second featureparameter exceeds (or lowers than) the second reference value, thejudging unit 8324 may determine that the medical device ismalfunctioning. In other words, the second feature parameter and themedical device is abnormal. More descriptions regarding the monitoringof the medical device based on the second feature parameter may be foundelsewhere in the present disclosure (e.g., FIG. 10 and the descriptionsthereof).

In some embodiments, the judging unit 8324 may determine malfunctioninginformation of the medical device based on the first feature parameterand/or the second feature parameter. The malfunctioning information mayinclude the type of a malfunction, a malfunctioning component, arecommendation for eliminating the malfunction, or the like, or anycombination thereof.

In some embodiments, the judging unit 8324 may generate a malfunctioningalert in response to a determination that the medical device ismalfunctioning. In some embodiments, the malfunctioning alert mayinclude a text alert, an audio alert, a certain graph, a light alert, avibration alert, or the like, or any combination thereof. In someembodiments, the malfunctioning alert may further include themalfunctioning information, for example, the type of the malfunction,the malfunctioning module, the recommendation for eliminatingmalfunction, etc., as described in operation 906.

In some embodiments, the judging unit 8324 may transfer themalfunctioning information of the medical device and/or themalfunctioning alert to other modules of the monitor 730. For example,the judging unit 8324 may transmit a signal including the malfunctioningalert to the client terminal 140. The judging unit 8324 may transmit thesignal using a text message, a voice message, or a video messageincluding the malfunctioning information. The signal may be alsoconfigured to cause the client terminal to display the malfunctioningalert on a visual interface of the client terminal 140 via the network150.

It should be noted that the above description of the monitor 730 ismerely provided for the purposes of illustration, and not intended tolimit the scope of the present disclosure. For persons having ordinaryskills in the art, multiple variations and modifications may be madeunder the teachings of the present disclosure. For example, the monitor730 may further include a storage module facilitating data storage. Asanother example, the calculating unit 8321 and the parameterdetermination unit 8322 may be merged into a single unit. However, thosevariations and modifications do not depart from the scope of the presentdisclosure.

FIG. 9 is a flowchart illustrating an exemplary process 900 formonitoring a medical device according to some embodiments of the presentdisclosure. In some embodiments, the process 900 may be implemented inthe imaging system 100 illustrated in FIG. 1. For example, the process900 may be stored in the storage 130 and/or the storage (e.g., thestorage 420, the storage 490) as a form of instructions, and invokedand/or executed by the processing engine 120 (e.g., the processor 410 ofthe computing device 400 as illustrated in FIG. 3, the CPU 440 of themobile device 500 as illustrated in FIG. 4).

In 902, imaging data acquired by a detector via detecting radiation raysemitted from a tube of a medical device may be obtained. Operation 902may be performed by the acquisition module 831. The tube of the medicaldevice (e.g., an X-ray imaging device, a CT device, etc.) may generateand/or emit radiation rays travelling toward an object to be scanned asdescribed elsewhere in the present disclosure. The imaging data (e.g.,projection data) generated by the detector may indicate the intensitydistribution of the radiation rays relative to a plurality of detectingunits of the detector. In some embodiments, the acquisition module 831may continuously or periodically obtain the imaging data from themedical device (e.g., the detector).

In some embodiments, the acquisition module 831 may continuously orperiodically obtain the imaging data from the medical device (e.g., thedetector). For example, the acquisition module 831 may obtain theimaging data from the detector based on a Nyquist-Shannon samplingtheorem. The sampling frequency of the imaging data may be greater thana rotation speed of the anode target of the tube. For example, thesampling frequency of the imaging data may be greater than twice therotation speed of the anode target. Additionally or alternatively, thedetector of the medical device may transmit the imaging data to thestorage (e.g., the storage 130, the storage 420) via the network 150continuously or periodically. The acquisition module 831 may access thestorage and retrieve the imaging data. In some embodiments, theacquisition module 831 may obtain an image (e.g., an X-ray image)associated with the imaging data from the medical device 110 or thestorage 130. The acquisition module 831 may determine the imaging data(e.g., the projection data) by performing a transform operation (e.g., aFourier transform).

In 904, a first feature parameter associated with the radiation rays maybe determined based on the imaging data. Operation 904 may be performedby the calculating unit 8321 and/or the parameter determination unit8322.

The first feature parameter may represent characteristics of theradiation rays, which may indicate operating states of one or morecomponents of the medical device (e.g., the anode target, the filament,the collimator, etc.). In some embodiments, the first feature parametermay include an intensity parameter relating to the radiation raysreceived by the detector, a parameter of a focus of the radiation rays,or the like, or any combination thereof. The intensity parameterrelating to the radiation rays may relate to the intensity of radiationrays received by at least one portion of the plurality of detectingunits in the detector. The intensity parameter relating to the radiationrays may include a maximum intensity of radiation rays received by oneof the plurality of detecting units, a minimum intensity of radiationrays received by one of the plurality of detecting units, an averageintensity of the radiation rays received by the plurality of detectingunits, or the like, or any combination thereof. As used herein, themaximum intensity of radiation rays received by one of the plurality ofdetecting units may refer to a maximum value of the intensity ofradiation rays received by each of the plurality of detecting units. Theminimum intensity of radiation rays received by one of the plurality ofdetecting units may refer to a minimum value of the intensity ofradiation rays received by each of the plurality of detecting units. Theaverage intensity of the radiation rays received by the plurality ofdetecting units may refer to an average value of the intensity ofradiation rays received by each of the plurality of detecting units. Theparameter of the focus of the radiation rays may include the position ofthe focus, the size of the focus, the shape of the focus, the vibrationfrequency of the focus, the vibration amplitude of the focus, etc., asdescribed elsewhere in the present disclosure. As used herein, theposition of the focus may be denoted by the position of a detecting unitwhich receives a maximum intensity of radiation rays.

The parameter determination unit 8322 may determine the first featureparameter based on the intensity distribution of the radiation rays. Theimaging data (i.e., projection data) may indicate the intensitydistribution of the radiation rays received by the plurality ofdetecting units. In some embodiments, the parameter determination unit8322 may determine the intensity parameter relating to radiation rays(e.g., the maximum intensity, the minimum intensity, the averageintensity, etc.) by analyzing the intensity distribution of theradiation rays. For example, the parameter determination unit 8322 maydetermine the maximum intensity of radiation rays by comparingintensities of radiation rays with each other in the intensitydistribution of the radiation rays. In some embodiments, the parameterdetermination unit 8322 may determine the parameter of the focus basedon the intensity distribution of the radiation rays. For example, theparameter determination unit 8322 may determine a position of focusbased on the maximum of radiation rays received by the detector. Moredescriptions for determining the parameters associated with theradiation rays may be found elsewhere in the present disclosure (e.g.,FIGS. 11-12, 17-20, and the descriptions thereof).

In 906, the medical device may be monitored based on the first featureparameter associated with the radiation rays. Operation 906 may beperformed by the reference value acquisition unit 8323 and/or thejudging unit 8324.

In some embodiments, the judging unit 8324 may determine whether themedical device is malfunctioning based on the first feature parameter(e.g., the intensity parameter associated with the radiation rays, thevibration frequency of the focus, the vibration amplitude of the focus,etc.) and a first reference value corresponding to the first featureparameter. For example, the judging unit 8324 may determine whether themedical device is malfunctioning based on a difference between the firstfeature parameter and the first reference value. The judging unit 8324may determine whether the difference between the first feature parameterand the first reference value exceeds a first threshold. In response toa determination that the difference between the first feature parameterand the first reference value exceeds the first threshold, the judgingunit 8324 may determine that the medical device is malfunctioning. Asanother example, the judging unit 8324 may determine whether the firstfeature parameter exceeds (or less than) the first reference value. Inresponse to a determination that the first feature parameter exceeds (orless than) the first reference value, the judging unit 8324 maydetermine that the medical device is malfunctioning. In other words, thefirst feature parameter and the medical device is abnormal. The firstthreshold and/or the first reference value may be preset manually by auser, or may be determined by one or more components of the imagingsystem 100 according to different situations.

In some embodiments, the judging unit 8324 may monitor the medicaldevice based on a second feature parameter associated with one or morecomponents of the tube (e.g., the anode target, the filament). Thesecond feature parameter may include a rotation frequency of the anodetarget, a vibration amplitude of the anode target when rotating, arotation speed of the anode target, a service life of the anode target,or the like, or any combination thereof. In some embodiments, theparameter determination unit 8322 may determine the second featureparameter associated with a component of the tube based on the firstfeature parameter. For example, the parameter determination unit 8322may determine the rotation speed of the anode target based on thevibration frequency of the focus. As another example, the parameterdetermination unit 8322 may determine the vibration amplitude of theanode target when rotating based on the vibration amplitude of thefocus.

The judging unit 8324 may determine whether the medical device ismalfunctioning based on the second feature parameter (e.g., the rotationspeed of the anode target, the vibration amplitude of the anode targetwhen rotating, etc.) and a second reference value corresponding to thesecond feature parameter. For example, the judging unit 8324 maydetermine whether the second feature parameter exceeds (or lowers than)the second reference value. In response to a determination that thesecond feature parameter exceeds (or lowers than) the second referencevalue, the judging unit 8324 may determine that the medical device ismalfunctioning. In other words, the second feature parameter and themedical device is abnormal. More descriptions regarding the monitoringof the medical device based on the second feature parameter may be foundelsewhere in the present disclosure (e.g., FIGS. 10, 13, and 14 and thedescriptions thereof).

In some embodiments, the judging unit 8324 may determine malfunctioninginformation of the medical device based on the first feature parameterand/or the second feature parameter. The malfunctioning information mayinclude the type of a malfunction, a malfunctioning component, arecommendation for eliminating the malfunction, or the like, or anycombination thereof. For example, if the judging unit 8324 determinesthat the intensity distribution of the radiation rays received by theplurality of detecting units is consistent (or normal), the size of thefocus is normal, and the position of the focus is abnormal, it mayindicate that there is a malfunction in an electric field control of themedical device. As another example, if the judging unit 8324 determinesthat the intensity distribution of the radiation rays received by theplurality of detecting units is inconsistent (or abnormal), the size ofthe focus is normal, and the position of the focus is abnormal, it mayindicate that there is a high-voltage output malfunction (e.g., amalfunction in the high-voltage generator 230) in the medical device. Asstill another example, if the judging unit 8324 determines that theintensity distribution of the radiation rays received by the pluralityof detecting units is inconsistent (or normal), the size of the focusand the position of the focus are abnormal, it may indicate that thereis a high-voltage output malfunction (e.g., a malfunction in thehigh-voltage generator 230) or a tube malfunction in the medical device.As still another example, if the judging unit 8324 determines thatcharacteristic of the focus (denoted by the parameter of the focus) isunstable, it may indicate that a focus control module in the medicaldevice is malfunctioning. In some embodiments, the judging unit 8324 mayanalyze the malfunctioning components of the medical device based onlogs and/or feedback parameters.

In some embodiment, the judging unit 8324 may determine whether thefilament of the tube is malfunctioning based on the intensitydistribution of the radiation rays received by the plurality ofdetecting units. For example, if the filament of the tube is notmalfunctioning, the intensity of radiation rays received by theplurality of detecting units may be evenly distributed according to acertain rule, also referred to as the intensity distribution of theradiation rays may be consistent. If the filament of the tube ismalfunctioning, the intensity distribution of the radiation raysreceived by the plurality of detecting units may be abnormal orinconsistent. In some embodiments, if a voltage output of a high-voltagegenerator of the medical device is abnormal or malfunctioning, such aslower than a reference voltage value, the effective electron densityemitted by the filament of the tube may be lower than a referencedensity value. Accordingly, the intensity of the radiation rays and theshape of the focus may be abnormal.

In some embodiments, the processing module 832 may adjust one or moreparameters of one or more components of the medical device based on thefirst feature parameter and/or the second feature parameter. In someembodiments, the processing module 832 may adjust the parameter of acollimator of the medical device based on the parameter of the focus ofthe radiation rays. The parameter of the collimator may include aposition of an opening of the collimator, a collimating width of thecollimator, or the like, or any combination thereof. For example, theprocessing module 832 may increase the collimating width of thecollimator in response to a determination that the vibration amplitudeof the focus exceeds the second threshold. As another example, theprocessing module 832 may adjust the position of the opening of thecollimator based on the position of the focus and the vibrationamplitude of the focus.

In some embodiments, the processing module 832 may estimate a servicelife of one or more components (e.g., the anode target) of the medicaldevice. For example, the processing module 832 may determine the servicelife of the anode target based on the rotation speed of the anode targetand a pre-set relationship between the service life of the anode targetand the rotation speed of the anode target as described elsewhere in thepresent disclosure (e.g., FIG. 13 and the descriptions thereof).

In 908, in response to a determination that the medical device ismalfunctioning, a malfunctioning alert may be generated. Operation 908may be performed by the judging unit 8324. In some embodiments, themalfunctioning alert may include a text alert, an audio alert, a certaingraph, a light alert, a vibration alert, or the like, or any combinationthereof. In some embodiments, the malfunctioning alert may furtherinclude the malfunctioning information, for example, the type of themalfunction, the malfunctioning module, the recommendation foreliminating malfunction, etc., as described in operation 906.

In 910, the malfunctioning alert may be transmitted to a clientterminal. Operation 910 may be performed by the processing module 832.In some embodiments, the processing module 832 may transmit a signalincluding the malfunctioning alert to the client terminal 140. Theprocessing module 832 may transmit the signal using a text message, avoice message, or a video message including the malfunctioninginformation. The signal may also be configured to cause the clientterminal to display the malfunctioning alert on a visual interface ofthe client terminal 140 via the network 150.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. In someembodiments, one or more operations may be added or omitted. Forexample, operation 908 and operation 910 may be merged into a singleoperation. As another example, operation 908 and/or operation 910 may beomitted. As still another example, a pre-processing operation may beadded before operation 904. The image data may be pre-processed (e.g.,filtered, de-noised, classified, or sorted) by the processing module832.

FIG. 10 is a flowchart illustrating an exemplary process 1000 formonitoring a medical device according to some embodiments of the presentdisclosure. In some embodiments, the process 1000 may be implemented inthe imaging system 100 illustrated in FIG. 1. For example, the process1000 may be stored in the storage 130 and/or the storage (e.g., thestorage 420, the storage 490) as a form of instructions, and invokedand/or executed by the processing engine 120 (e.g., the processor 410 ofthe computing device 400 as illustrated in FIG. 3, the CPU 440 of themobile device 500 as illustrated in FIG. 4). Operation 906 may beperformed according to process 1000.

In 1002, a second feature parameter associated with a component of atube may be determined based on a first feature parameter associatedwith radiation rays. Operation 1002 may be performed by the calculatingunit 8321 and/or the parameter determination unit 8322. The tube mayinclude an anode target as described elsewhere in the present disclosure(e.g., FIGS. 2, 7 and 9, and the descriptions thereof). The firstfeature parameter associated with the radiation rays may include anintensity parameter relating to the radiation rays received by adetector, a parameter of a focus of the radiation rays, etc., asdescribed elsewhere in the present disclosure (e.g., FIG. 9 and thedescriptions thereof). For example, the parameter of the focus of theradiation rays may include the position of the focus, the size of thefocus, the shape of the focus, the vibration frequency of the focus, thevibration amplitude of the focus, etc. The second feature parameter mayinclude a rotation frequency of the anode target, a vibration amplitudeof the anode target when rotating, a rotation speed of the anode target,or the like, or any combination thereof.

In some embodiments, the processing module 832 may determine therotation speed of the anode target of the tube based on a vibrationfrequency of the focus. For example, the processing module 832 maydetermine a change cycle of the position of the focus based on theposition of the focus. The processing module 832 may also determine avibration frequency of the focus based on the change cycle of theposition of the focus. Further, the processing module 832 may determinethe rotation speed of the anode target based on the vibration frequencyof the focus. In some embodiments, the processing module 832 may furtherdetermine the rotation frequency of the anode target based on therotation speed of the anode target. More descriptions regarding thedetermination of the rotation speed of the anode target may be foundelsewhere on the present disclosure (e.g. FIG. 13 and the descriptionsthereof).

In some embodiments, the processing module 832 may determine thevibration amplitude of the anode target when rotating based on thevibration amplitude of the focus. For example, the processing module 832may determine a change cycle of the position of the focus based on theposition of the focus. The processing module 832 may also determine achange of the position of the focus in the change cycle. Further, theprocessing module 832 may determine the vibration amplitude of the focusbased on the change of the position of the focus in the change cycle anddetermine the vibration amplitude of the anode target when rotatingbased on the vibration amplitude of the focus. More descriptionsregarding the determination of the vibration amplitude of the anodetarget when rotating may be found elsewhere on the present disclosure(e.g. FIG. 14 and the descriptions thereof).

In 1004, a second reference value corresponding to the second featureparameter may be obtained. Operation 1004 may be performed by thereference value acquisition unit 8323.

As used herein, a reference value corresponding to a specific secondfeature parameter may refer to a desired value of the specific secondfeature parameter when the medical device is functioning well. Thereference value specific corresponding to a specific second featureparameter may be an empirical value determined based on statisticalanalysis of data collected from a well-functioning medical device. Insome embodiments, the reference value acquisition unit 8323 may obtainthe second reference value from one or more components of the imagingsystem 100, such as a storage device (e.g., the storage 130), or aterminal (e.g., a client terminal 140). In some embodiments, thereference value acquisition unit 8323 may obtain the second referencevalue from an external data source or storage connected to the imagingsystem 100 via the network 150.

In 1006, the second reference value and the second feature parameter maybe compared. Operation 1006 may be performed by the judging unit 8324.

In some embodiments, the judging unit 8324 may compare the secondreference value and the second feature parameter by comparing adifference between the second reference value and the second featureparameter with a threshold. For example, the judging unit 8324 maydetermine the difference by subtracting the second reference value (orthe second feature parameter) from the second feature parameter (or thesecond reference value). As another example, the judging unit 8324 maydetermine the difference by dividing the second reference value (or thesecond feature parameter) by the second feature parameter (or the secondreference value). The judging unit 8324 may compare the second referencevalue and the second feature parameter by determining whether thedifference between the second reference value and the second featureparameter exceeds the threshold. In some embodiments, the judging unit8324 may compare the second reference value and the second featureparameter by determining whether the second feature parameter exceeds(or lowers than) the second reference value. The threshold may be presetmanually by a user, or may be determined by one or more components ofthe imaging system 100 according to different situations.

In 1008, a determination may be made as to whether the medical device ismalfunctioning based on the comparison. Operation 1008 may be performedby the judging unit 8324.

In some embodiments, the judging unit 8324 may determine whether themedical device is malfunctioning based on the difference between thesecond reference value and the second feature parameter and thethreshold. For example, in response to a determination that thedifference between the second reference value and the second featureparameter (e.g., a vibration amplitude of the anode target whenrotating) exceeds the threshold, the judging unit 8324 may determinethat the medical device is malfunctioning. In response to adetermination that the difference between the second reference value andthe second feature parameter does not exceed the third threshold, thejudging unit 8324 may determine that the medical device is notmalfunctioning. As another example, in response to a determination thatthe second feature parameter (e.g., a rotation speed of the anodetarget) exceeds (or lowers than) the second reference value, the judgingunit 8324 may determine that the medical device is malfunctioning.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure.

FIG. 11 is a flowchart illustrating an exemplary process 1100 formonitoring a medical device according to some embodiments of the presentdisclosure. In some embodiments, the process 1100 may be implemented inthe imaging system 100 illustrated in FIG. 1. For example, the process1100 may be stored in the storage 130 and/or the storage (e.g., thestorage 420, the storage 490) as a form of instructions, and invokedand/or executed by the processing engine 120 (e.g., the processor 410 ofthe computing device 400 as illustrated in FIG. 3, the CPU 440 of themobile device 500 as illustrated in FIG. 4).

In 1102, imaging data acquired by a detector via detecting radiationrays emitted from a tube of a medical device may be obtained. Operation1102 may be performed by the acquisition module 831. More descriptionsof the acquisition of image data may be found elsewhere in the presentdisclosure (e.g., operation 902 in FIG. 9 and descriptions thereof).

In 1104, a feature parameter associated with the radiation rays may bedetermined based on the imaging data. Operation 1104 may be performed bythe calculating unit 8321 and/or the parameter determination unit 8322.

In some embodiments, the feature parameter associated with the radiationrays may include intensity parameter associated with the radiation rays,a parameter of a focus of the radiation rays, etc. The intensityparameter associated with the radiation rays may include a maximumintensity of radiation rays received by one of a plurality of detectingunits in the detector, a minimum intensity of radiation rays received byone of the plurality of detecting units, an average intensity ofradiation rays received by the plurality of detecting units, or thelike, or any combination thereof, as described elsewhere in the presentdisclosure (e.g., FIG. 9 and descriptions thereof). The parameter of thefocus may include a position of the focus, a size of the focus, a shapeof the focus, a vibration frequency of the focus, a vibration amplitudeof the focus, etc., as described elsewhere in the present disclosure(e.g., FIG. 9 and descriptions thereof).

In some embodiments, the calculating unit 8321 may determine anintensity distribution of the radiation rays received by a plurality ofdetecting units based on the imaging data. For example, the calculatingunit 8321 may determine the intensity distribution of the radiation raysreceived by the plurality of detecting units based on the intensity ofradiation rays received by each of the plurality of detecting units andthe position of each of the plurality of detecting units. Then theparameter determination unit 8322 may determine feature parameter (e.g.,the intensity parameter, the parameter of the focus, etc.) associatedwith the radiation rays based on the intensity distribution of theradiation rays relative to the plurality of detecting units of thedetector. In some embodiments, the parameter determination unit 8322 maydetermine the maximum intensity or the minimum intensity of radiationrays received by one of the plurality of detecting units by comparingthe intensity of radiation rays received by each of the plurality ofdetecting units according to, for example, a sequence (e.g., rows orcolumns of the detector). For example, as illustrated in FIG. 17, theparameter determination unit 8322 may determine that the maximumintensity of radiation rays received by the plurality of detecting unitsis 6 μSv and the minimum intensity of radiation rays received by one ofthe plurality of detecting units is 1 μSv.

In some embodiments, the parameter determination unit 8322 may determinethe parameter of the focus based on the intensity of radiation raysreceived by at least one portion of the plurality of detecting units.For example, the parameter determination unit 8322 may determine theposition of the focus based on the position of a detecting units withthe maximum intensity. As another example, the parameter determinationunit 8322 may determine the size of focus based on an area of a regionof detecting units around the position of the focus. The intensity ofradiation rays received by detecting units in the region may exceeds athreshold. The parameter determination unit 8322 may designate the areaof the region as the size of the focus. As illustrated in FIG. 18, theparameter determination unit 8322 may determine that the size of thefocus is 4 mm². As still another example, the parameter determinationunit 8322 may determine a change cycle of the position of the focusdetermined based on the intensity distribution of the radiation rays,and determine the vibration frequency of the focus based on the changecycle of the position of the focus. The vibration frequency of the focusmay be in inverse proportion to the change cycle of the position of thefocus. As a further example, the parameter determination unit 8322 maydetermine the change of the position of the focus during the changecycle and determine the vibration amplitude of the focus based on thechange of the position of the focus during the change cycle. Asillustrated in FIG. 20, the vibration amplitude of the focus may bedetermined based on several feature points on a position change diagram,such as a distance between a highest point (e.g., point F) and a lowestpoint (e.g., point C) along the longitudinal axis during a change cycle.

In 1106, a reference value corresponding to the feature parameter may beobtained. Operation 1106 may be performed by the reference valueacquisition unit 8323.

The reference value corresponding to the feature parameter may bedetermined based on a plurality of experiments. The reference value maybe a desired value of the feature parameter associated with theradiation rays when the medical device is functioning well. For example,the desired value of the maximum intensity of radiation rays received byone of the plurality of detecting units may be between 4 μSv and 5 μSvwhen the medical device is functioning well. Accordingly, the referencevalue acquisition unit 8323 may determine that the reference value(e.g., a reference maximum intensity of radiation rays received by oneof the plurality of detecting units) corresponding to the maximumintensity of radiation rays may be 4.5 μSv. As another example, thedesired value of the size of the focus may be between 4.4 mm² and 4.8mm² when the medical device is functioning well. The reference valueacquisition unit 8323 may determine that the reference valuecorresponding to the size of focus may be 4.6 mm².

In 1108, the reference value and the feature parameter may be comparedto determine whether the medical device is malfunctioning. Operation1108 may be performed by the judging unit 8324. In some embodiments,since the intensity of radiation rays received by the plurality ofdetecting units may be determined based on the number of radiation raysemitted by the tube, high voltage, tube current loaded in the medicaldevice, etc., the processing module 832 may determine whether themedical device is malfunctioning based on the intensity distribution ofthe radiation rays. For example, a tube malfunction and/or a powersupply malfunction (e.g., the voltage loaded on the medical device istoo high) in the medical device may increase (or decrease) the number ofradiation rays per unit area, which may increase (or decrease) theintensity of radiation rays received by the plurality of detectingunits. As another example, since the focus of the radiation rays may begenerated by electron beam bombarding the anode target, the unstable ofthe focus may influence the number of radiation rays received by eachdetecting unit of the detector, and further influence the intensity ofradiation rays received by the plurality of detecting units. Theprocessing module 832 may determine whether the medical device (e.g.,the filament of the tube, the anode target of the tube) ismalfunctioning based on the size of the focus, the position of thefocus, the shape of the size, or any other parameter of the focus. Insome embodiments, the judging unit 8324 may determine whether themedical device is malfunctioning based on the difference between thereference value and the feature parameter and a first range or a firstthreshold. The judging unit 8324 may determine a difference between thereference value and the feature parameter. For example, the judging unit8324 may determine the difference by subtracting the reference maximumintensity of radiation rays received by one of the plurality ofdetecting units (e.g., 4.5 μSv) from the maximum intensity of radiationrays received by one of the plurality of detecting units (e.g., 6 μSv).If the difference (e.g., 1.5 μSv) between the reference maximumintensity of radiation rays (e.g., 4.5 μSv) and the maximum intensity ofradiation rays (e.g., 6 μSv) received by one of the plurality ofdetecting units exceeds the first threshold (e.g., 1 μSv), the judgingunit 8324 may determine that the medical device is malfunctioning. Asanother example, for the maximum intensity of radiation rays, the firstrange may be [−0.5 μSv, 0.5 μSv]. The judging unit 8324 may determinewhether the difference (e.g., 1.5 μSv) between the reference maximumintensity of radiation rays (e.g., 4.5 μSv) and the maximum intensity ofradiation rays (e.g., 6 μSv) exceeds the first range. In response to adetermination that the difference (e.g., 1.5 μSv) exceeds the firstrange (e.g., [−0.5 μSv, 0.5 μSv]), the judging unit 8324 may determinethat the medical device is malfunctioning.

The first range and/or the first threshold may be preset manually by auser, or may be determined by one or more components of the imagingsystem 100 according to different situations. For example, the firstrange for the maximum intensity of radiation rays may be [−0.5 μSv, 0.5μSv]. The first threshold for the maximum intensity of radiation raysmay be 1 μSv.

In some embodiments, the processing module 832 may determinemalfunctioning information of the medical device based on the featureparameter and the reference value directly. For example, if the firstfeature parameter (e.g., the vibration speed of the focus, the vibrationfrequency of the focus, etc.) exceeds the reference value, the judgingunit 8324 may determine that the medical device is malfunctioning.

In some embodiments, the processing module 832 may further determinemalfunctioning information of the medical device based on the featureparameter associated with the radiation rays. The malfunctioninginformation of the medical device may include the type of a malfunction,a malfunctioning component, a recommendation for eliminating themalfunction, etc., as described elsewhere in the present disclosure. Forexample, the malfunctioning information of the medical device may bedetermined based on the size of the focus. A filament malfunction and/oran anode target malfunction (e.g., the anode target is damaged) maydecrease the number of the radiation rays, which may decrease the sizeof the focus of the radiation rays. As another example, the processingmodule 832 may determine malfunctioning information of the medicaldevice based on the position of the focus and the reference position ofthe focus. For example, the filament malfunction (e.g., the filament isshort circuit) may result in an uneven distribution of the radiationrays. As still another example, the anode target malfunction (e.g., ananode target offset) may cause the position of the focus offset.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure.

FIG. 12 is a flowchart illustrating an exemplary process 1200 formonitoring a medical device based on a vibration parameter of a focusaccording to some embodiments of the present disclosure. In someembodiments, the process 1200 may be implemented in the imaging system100 illustrated in FIG. 1. For example, the process 1200 may be storedin the storage 130 and/or the storage (e.g., the storage 420, thestorage 490) as a form of instructions, and invoked and/or executed bythe processing engine 120 (e.g., the processor 410 of the computingdevice 400 as illustrated in FIG. 3, the CPU 440 of the mobile device500 as illustrated in FIG. 4).

In 1202, imaging data acquired by a detector via detecting radiationrays emitted from a tube of a medical device may be obtained. Operation1202 may be performed by the acquisition module 831. More descriptionsof the acquisition of image data may be found elsewhere in the presentdisclosure (e.g., operation 902 in FIG. 9, operation 1102 in FIG. 11,and descriptions thereof).

In 1204, a vibration parameter of a focus of the radiation rays may beobtained by analyzing the imaging data. Operation 1204 may be performedby the calculating unit 8321 and/or the parameter determination unit8322. In some embodiments, the vibration parameter of the focus of theradiation rays may include a vibration frequency of the focus, avibration amplitude of the focus, or the like, or any combinationthereof.

In some embodiments, the parameter determination unit 8322 may determinea position of the focus of the radiation rays based on an intensitydistribution of the radiation rays as described elsewhere in the presentdisclosure (e.g., FIGS. 9, 11 and 17, and descriptions thereof). Theparameter determination unit 8322 may determine a change cycle of theposition of the focus based on the position of the focus. The parameterdetermination unit 8322 may determine the vibration frequency of thefocus based on the change cycle of the position of the focus. Moredescriptions of the determination of the vibration frequency of thefocus may be found elsewhere in the present disclosure (e.g., FIG. 13and descriptions thereof).

In some embodiments, the parameter determination unit 8322 may determinea change of the position of the focus in the change cycle. The parameterdetermination unit 8322 may determine the vibration amplitude of thefocus based on the change of the position of the focus in the changecycle. More descriptions of the determination of the vibration amplitudeof the focus may be found elsewhere in the present disclosure (e.g.,FIG. 14 and descriptions thereof).

In 1206, a determination may be made as to determine whether the medicaldevice is malfunctioning based on the vibration parameter of the focus.Operation 1206 may be performed by the judging unit 8324. In someembodiments, the judging unit 8324 may determine a desired value of thevibration parameter of the focus when the medical is functioning well.The desired value of the vibration parameter of the focus may also bereferred to as a reference value. In some embodiments, the judging unit8324 may determine whether the medical device is malfunctioning bycomparing the vibration parameter of the focus and the reference valuecorresponding to the vibration parameter of the focus. For example, thejudging unit 8324 may determine whether the medical device ismalfunctioning by comparing the vibration frequency of the focus and thereference value corresponding to the vibration frequency of the focus.If the vibration frequency of the focus exceeds the reference valuecorresponding to the vibration frequency of the focus, the judging unit8324 may determine that the medical device is malfunctioning,

In some embodiments, the judging unit 8324 may determine a differencebetween the vibration parameter of the focus and a reference valuecorresponding to the vibration parameter. The judging unit 8324 maydetermine whether the medical device is malfunctioning based on thedifference and a threshold. For example, if a difference between thevibration amplitude of the focus and a reference value corresponding tothe vibration amplitude of the focus exceeds a threshold or a range, thejudging unit 8324 may determine that the medical device ismalfunctioning.

In some embodiments, the processing module 832 may determine a parameterof a component in the medical device based on the vibration parameter ofthe focus. For example, the processing module 832 may determine arotation speed of the anode target based on the vibration frequency ofthe focus. As another example, the processing module 832 may determine avibration amplitude of the anode target based on the vibration amplitudeof the focus. The judging unit 8324 may determine whether the anodetarget is malfunctioning based on the rotation speed of the anode targetand/or the vibration amplitude of the anode target. More descriptionsfor determining whether the anode target is malfunctioning based on therotation speed of the anode target and/or the vibration amplitude of theanode target may be found elsewhere in the present disclosure (e.g.,FIGS. 13, 14, and descriptions thereof).

In some embodiments, the judging unit 8324 may determine whether afilament of the tube is malfunctioning based on a position of the focus,a size of the focus, the vibration frequency of the focus, the vibrationamplitude of the focus, and/or an intensity distribution of theradiation rays received by a plurality of detecting units. Accordingly,the processing module 832 may monitor the medical device by analyzingoperating states of one or more components of the medical device.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure.

FIG. 13 is a flowchart illustrating an exemplary process 1300 formonitoring a medical device according to some embodiments of the presentdisclosure. In some embodiments, the process 1300 may be implemented inthe imaging system 100 illustrated in FIG. 1. For example, the process1300 may be stored in the storage 130 and/or the storage (e.g., thestorage 420, the storage 490) as a form of instructions, and invokedand/or executed by the processing engine 120 (e.g., the processor 410 ofthe computing device 400 as illustrated in FIG. 3, the CPU 440 of themobile device 500 as illustrated in FIG. 4).

In 1302, imaging data acquired by a detector via detecting radiationrays emitted from a tube of a medical device may be obtained. Operation1302 may be performed by the acquisition module 831. More descriptionsof the acquisition of image data may be found elsewhere in the presentdisclosure (e.g., operation 9002 in FIG. 9, operation 1102 in FIG. 11,operation 1202 in FIG. 12, and descriptions thereof).

In 1304, a change cycle of a position of a focus associated with theradiation rays may be determined based on the imaging data. Operation1304 may be performed by the calculating unit 8321 and/or the parameterdetermination unit 8322. In some embodiments, the position of the focusmay change periodically over time. As used herein, the change cycle ofthe position of the focus may refer to a duration of time of one cyclein the change of the position of the focus. In some embodiments, theparameter determination unit 8322 may determine the change cycle of theposition of the focus based on a plurality of positions of the focus atdifferent time points during a period of time. For example, theparameter determination unit 8322 may determine a position changediagram, as illustrated in FIG. 20, based on the plurality of positionsof the focus at different time points during the period of time. Theparameter determination unit 8322 may determine a duration of timecorresponding a repeated curve (i.e., the duration of time of one cycle)in the position change diagram as the change cycle of the position ofthe focus.

In 1306, a vibration frequency of the focus may be obtained based on thechange cycle of the position of the focus. Operation 1306 may beperformed by the calculating unit 8321 and/or the parameterdetermination unit 8322. As used herein, the vibration frequency of thefocus may refer to the number of cycles in a unit time period. In someembodiments, the parameter determination unit 8322 may determine thevibration frequency of the focus based on the change cycle of theposition of the focus. For example, the vibration frequency of the focusmay be a reciprocal of the change cycle of the position of the focus.

In 1308, a rotation speed of an anode target of the medical device maybe obtained based on the vibration frequency of the focus. Operation1308 may be performed by the calculating unit 8321 and/or the parameterdetermination unit 8322.

In some embodiments, the anode target may wobble around an axis, forexample, the center axis of the tube in a vertical direction orhorizontal direction, when the medical device is operating. The rotationspeed of the anode target may be determined based on the vibrationfrequency of the anode target when rotating. Further, the rotation speedof the anode target may be proportional to the vibration frequency ofthe anode target when rotating. As the focus may be generated on theanode target by electrons emitted by the filament of the tube bombardingthe anode target. The vibration frequency of the anode target may besame as or similar to the vibration frequency of the focus, for example,proportional to the vibration frequency of the focus. Thus, thevibration frequency of the anode target may be determined based on thevibration frequency of the focus.

In 1310, the rotation speed of the anode target and a reference valuecorresponding to the rotation speed may be compared to determine whetherthe medical device is malfunctioning. Operation 1310 may be performed bythe judging unit 8324. The reference value corresponding to the rotationspeed may be a desired value of the rotation speed of the anode targetwhen the medical device is functioning well. The reference valuecorresponding to the rotation speed (i.e., a reference rotation speed)may be preset manually by a user, or may be determined by one or morecomponents of the imaging system 100 according to different situations.In some embodiments, the reference value corresponding to the rotationspeed may be a rated speed of the anode target determined based onmechanical properties of the medical device.

In some embodiments, the judging unit 8324 may determine a differencebetween the rotation speed of the anode target and the reference value.The judging unit 8324 may determine whether the medical device ismalfunctioning based on the difference between the rotation speed of theanode target and the reference value and a threshold. For example, thejudging unit 8324 may determine whether the difference between therotation speed of the anode target and the reference value exceeds thethreshold. In response to a determination that the difference betweenthe rotation speed of the anode target and the reference value exceedsthe threshold, the judging unit 8324 may determine that the medicaldevice is malfunctioning.

In some embodiments, the judging unit 8324 may determine a service lifeof the tube based on the difference between the rotation speed of theanode target and the speed threshold. For example, the judging unit 8324may pre-determine a relationship between the service life of the tubeand the difference between the rotation speed of the anode target withthe reference value (i.e., the desired value). The judging unit 8324 maydetermine the service life of the tube based on the relationship.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure.

FIG. 14 is a flowchart illustrating an exemplary process 1400 formonitoring a medical device according to some embodiments of the presentdisclosure. In some embodiments, the process 1400 may be implemented inthe imaging system 100 illustrated in FIG. 1. For example, the process1400 may be stored in the storage 130 and/or the storage (e.g., thestorage 420, the storage 490) as a form of instructions, and invokedand/or executed by the processing engine 120 (e.g., the processor 410 ofthe computing device 400 as illustrated in FIG. 3, the CPU 440 of themobile device 500 as illustrated in FIG. 4).

In 1402, imaging data acquired by a detector via detecting radiationrays emitted from a tube of a medical device may be obtained. Operation1402 may be performed by the acquisition module 831. More descriptionsof the acquisition of image data may be found elsewhere in the presentdisclosure (e.g., operation 902 in FIG. 9, operation 1102 in FIG. 11,operation 1202 in FIG. 12, operation 1302 in FIG. 13, and descriptionsthereof).

In 1404, a vibration amplitude of a focus associated with the radiationrays may be determined based on a change of a position of the focus in achange cycle. Operation 1404 may be performed by the calculating unit8321 and/or the parameter determination unit 8322. More descriptions fordetermining the vibration amplitude of the focus may be found elsewherein the present disclosure (e.g., FIGS. 9, 10, and 20, and descriptionsthereof).

In 1406, a vibration amplitude of an anode target when rotating may bedetermined based on the vibration amplitude of the focus. Operation 1406may be performed by the calculating unit 8321 and/or the parameterdetermination unit 8322.

As used herein, a vibration amplitude of an anode target when rotatingmay refer to a wobbling angle when the anode target operating. In someembodiments, the vibration amplitude of the anode target when rotatingmay equal to the vibration amplitude of the rotation of the focus.

In 1408, the vibration amplitude of the anode target when rotating and areference value corresponding to the vibration amplitude of the anodetarget when rotating may be compared to determine whether the medicaldevice is malfunctioning. Operation 1408 may be performed by the judgingunit 8324.

The reference value corresponding to the vibration amplitude of theanode target when rotating may be a desired value of the vibrationamplitude of the anode target when rotating when the medical device isfunctioning well. The reference value corresponding to the vibrationamplitude of the anode target when rotating (i.e., a reference vibrationamplitude) may be preset manually by a user, or may be determined by oneor more components of the imaging system 100 according to differentsituations. In some embodiments, the reference value corresponding tothe vibration amplitude of the anode target when rotating may be a ratedvibration amplitude of the anode target when rotating determined basedon mechanical properties of the medical device.

In some embodiments, the judging unit 8324 may determine a differencebetween the vibration amplitude of the anode target when rotating andthe reference value. The judging unit 8324 may determine whether themedical device is malfunctioning based on the difference between thevibration amplitude of the anode target when rotating and the referencevalue and a threshold. For example, the judging unit 8324 may determinewhether the difference between the vibration amplitude of the anodetarget when rotating and the reference value exceeds the threshold. Inresponse to a determination that the difference between the vibrationamplitude of the anode target when rotating and the reference valueexceeds the threshold, the judging unit 8324 may determine that themedical device is malfunctioning.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure.

FIG. 15 is a flowchart illustrating an exemplary process 1500 fordetermining a service life of an anode target according to someembodiments of the present disclosure. In some embodiments, the process1500 may be implemented in the imaging system 100 illustrated in FIG. 1.For example, the process 1500 may be stored in the storage 130 and/orthe storage (e.g., the storage 420, the storage 490) as a form ofinstructions, and invoked and/or executed by the processing engine 120(e.g., the processor 410 of the computing device 400 as illustrated inFIG. 3, the CPU 440 of the mobile device 500 as illustrated in FIG. 4).

In 1502, a vibration acceleration of a tube of a medical device may beobtained. Operation 1502 may be performed by the sensor 602. In someembodiments, the sensor 602 may obtain the vibration acceleration of thetube continuously or periodically (e.g., every 3 seconds).

In some embodiments, the sensor 602 may be a vibration sensor (e.g., anacceleration sensor) configured on a shell of the tube. In someembodiments, the rotating of an anode target configured in the tube maybe driven by a motor, which may cause a vibration of the shell of thetube. The sensor 620 may obtain an acceleration signal of the shell ofthe tube when the anode target rotates. The vibration acceleration ofthe tube may be determined based on the acceleration signal.

In 1504, a rotation frequency of the anode target configured in the tubemay be determined. Operation 1504 may be performed by the processor 604.

As used herein, a rotation frequency of the anode target may refer tothe number of turns of the anode target in a unit time. In someembodiments, the processor 604 may perform one or more operations on thevibration acceleration of the tube to determine the rotation frequencyof the anode target. For example, the processor 604 may perform atransform operation on the vibration acceleration of the tube todetermine spectrum information associated with the rotation frequency ofthe anode target. Merely by ways of example, the transform operation mayinclude a Fourier transform. The processor 604 may determine therotation frequency of the anode target based on the spectrum informationassociated with the rotation frequency of the anode target.

In 1506, a service life of the anode target may be determined based onthe rotation frequency of the anode target and a pre-set relationshipbetween the service life of the anode target and the rotation frequencyof the anode target. Operation 1506 may be performed by the monitor 606.

As used herein, a service life may refer to a period of use in service.The service life may be a total life in use from the time of sale to thetime of discard, or a remaining life in use. In some embodiments, thepre-set relationship between the service life of the anode target andthe rotation frequency of the anode target may be determined based onhistorical data associated with the service life of the anode target andthe rotation frequency of the anode target. For example, the historicaldata associated with the service life of the anode target and therotation frequency of the anode target may include the rotationfrequencies of one or more reference anode targets and correspondingservice lives, operating states, such as the rotation frequency of areference anode target when the reference anode target retires and thecorrespond service life. The pre-set relationship between the servicelife of the anode target and the rotation frequency of the anode targetmay be determined by performing a polynomial fitting or linear fittingbased on the historical data associated with the service life of theanode target and the rotation frequency of the anode target.

In some embodiments, the pre-set relationship between the service lifeof the anode target and the rotation frequency of the anode target maybe stored in a storage device (e.g., the storage 130) of the imagingsystem 100 or an external storage device. The monitor 606 may access thestorage device and retrieve the pre-set relationship between the servicelife of the anode target and the rotation frequency of the anode target.

In some embodiments, the service life of the anode target may betransmitted to a client terminal (e.g., the client terminal 140) fordisplay. The service life of the anode target may be presented in theclient terminal in the form of text, audio, graph, video, or the like,or any combination thereof. For example, a text message, a voicemessage, or a video message including the service life of the anodetarget may be transmitted to the client terminal 140.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. For example, one ormore other optional operations (e.g., a storing step) may be addedelsewhere in the exemplary process 1500. For a further example, process1500 may further include storing information and/or data associated withthe tube. The processing engine 112 may store the information and/ordata associated with the tube in a storage medium (e.g., the storage130), which is disclosed elsewhere in the present disclosure.

FIG. 16 is a flowchart illustrating an exemplary process 1600 formonitoring a medical device according to some embodiments of the presentdisclosure. In some embodiments, the process 1600 may be implemented inthe imaging system 100 illustrated in FIG. 1. For example, the process1600 may be stored in the storage 130 and/or the storage (e.g., thestorage 420, the storage 490) as a form of instructions, and invokedand/or executed by the processing engine 120 (e.g., the processor 410 ofthe computing device 400 as illustrated in FIG. 3, the CPU 440 of themobile device 500 as illustrated in FIG. 4).

In 1602, one or more scanning parameters of a medical device may be set.The one or more scanning parameters of the medical device may bedetermined by one or more components of the imaging system 100 (e.g.,the processing module 832) or be set by an operator (e.g., a doctor, atechnician) via the client terminal 140 according to differentsituations.

In some embodiments, the one or more scanning parameters of the medicaldevice may be set before performing a scan. The scanning parameters mayinclude a scan current, a scan voltage, a scan time, or the like, or anycombination thereof. Merely by way of example, the scan voltage may be1.2 KV and the scan current may be 80 mA. The scan time may be 4.5seconds, that is, the tube may emit radiation rays for 4.5 seconds andthen stop working.

In 1604, one or more parameters of a collimator of the medical devicemay be set. The one or more parameters of the collimator may bedetermined by one or more components of the imaging system 100 (e.g.,the processing module 832) or be set by an operator via the clientterminal 140 according to different situations.

In some embodiments, the parameter of the collimator may include aposition of an opening of the collimator, a collimating width of thecollimator, or the like, or any combination thereof. The collimator maybe configured to limit or collimate the radiation rays emitted from thetube. In some embodiments, the processing module 832 may adjust the oneor more parameters of the collimator (e.g., the collimator 250) suchthat the radiation rays emitted by the tube (e.g., the tube 260) can allbe received by a detector (e.g., the detector 240) after beingcollimated by the collimator.

In 1606, the medical device may be caused to scan a subject to obtainimaging data. Operation 1606 may be performed by the processing module832 and/or the console 220.

The subject may relate to an organic or inorganic mass that has achemical, biochemical, biological, physiological, biophysical and/orphysical activity or function. In some embodiments, the subject mayinclude cells, tissues, organs or whole body of a human or animal. Insome embodiments, the subject may include a phantom.

In some embodiments, a console (e.g., the console 220) may instruct ahigh-voltage generator (e.g., the high-voltage generator 230) to outputa high voltage. The high voltage may trigger a filament (e.g., thefilament 261) to emit a large number of electrons to form an electronbeam. The emitted electron beam may be impinged on a small area (i.e.,the focus) on an anode target (e.g., the anode target 262) to generateX-rays beams consisting of high-energetic photons. The X-rays beams maybe collimated by the collimator and project onto a surface of thedetector. The detector may obtain data associated with the projectionformed by the X-rays as image data (also referred to as projectiondata). The image data may be transmitted to the console for furtherprocessing.

In 1608, the imaging data may be analyzed. Operation 1608 may beperformed by the processing module 832 and/or the console 220.

In some embodiments, the console 220 may determine an intensitydistribution of the radiation rays received by a plurality of detectingunits based on the image data. For example, the console 220 maydetermine the intensity distribution of the radiation rays received bythe plurality of detecting units based on an intensity of radiation raysreceived by each of the plurality of detecting units and a position ofeach of the plurality of detecting units. In some embodiments, theconsole 220 may determine a feature parameter (e.g., a maximum, minimum,or average intensity of radiation rays received by the plurality ofdetecting units, a size of the focus, a position of the focus)associated with the radiation rays based on the intensity distributionof the radiation rays received by the plurality of detecting units asdescribed elsewhere in the present elsewhere (e.g., FIGS. 9, 11-12, anddescriptions thereof). The console 220 may obtain a reference value(e.g., a reference maximum, minimum, or average intensity of radiationrays received by the plurality of detecting units, a reference size ofthe focus, a reference position of the focus, etc.) corresponding to thefeature parameter. The console 220 may compare the feature parameter andthe reference value. The console 220 may determine whether the medicaldevice is malfunctioning based on the comparison. For example, theconsole 220 may determine a difference between the feature parameter andthe reference value. The console 220 may determine whether thedifference between the feature parameter and the reference value exceedsa threshold. In response to a determination that the difference exceedsthe threshold, the console 220 may determine that the medical device ismalfunctioning.

In 1610, a result may be analyzed. Operation 1610 may be performed bythe processing module 832 and/or the operator of the imaging system 100.

In some embodiments, the processing module 832 may determinemalfunctioning information of the medical device based on the featureparameter and the corresponding reference value. The malfunctioninginformation may include the type of a malfunction, a malfunctioningcomponent, a recommendation for eliminating the malfunction, or thelike, or any combination thereof. For example, if the processing module832 determines that the maximum intensity of radiation rays received byone of the plurality of detecting units is normal, and the position ofthe focus is abnormal, it may indicate that there is a power malfunction(e.g., a malfunction in the power 210) in the medical device. As anotherexample, if the processing module 832 determines that the maximumintensity of radiation rays received by one of the plurality ofdetecting units is abnormal, and the position of the focus is normal, itmay indicate there is a high-voltage generator malfunction (e.g., amalfunction in the high-voltage generator 230) in the medical device. Asstill another example, if the processing module 832 determines that themaximum intensity of radiation rays received by one of the plurality ofdetecting units, the position of the focus, and the size of the focusare abnormal, it may indicate that there are the high-voltage generatormalfunction (e.g., a malfunction in the high-voltage generator 230)and/or a tube malfunction (e.g., a malfunction in the tube 260) in themedical device. In some embodiments, the processing module 832 maydetermine the malfunctioning components of the medical device based onlogs and/or feedback parameters.

FIG. 17 is a schematic diagram illustrating an exemplary intensitydistribution of the radiation rays according to some embodiments of thepresent disclosure. The detector may include a plurality of detectingunits arranged in any suitable manner. As illustrated in FIG. 17, thetransverse axis denotes the row of the detector, and the longlongitudinal axis denotes the column of the detector. The plurality ofdetecting units are presented in the form of a detecting unit array,where each black dot represents a detecting unit. The detecting unitarray may include a plurality of rows and columns. The coordinates of ablack dot may represent the position of a detecting unit in thedetector. The interval between two adjacent rows in the detecting unitarray may be any suitable values, e.g., 0.5 mm, 1.0 mm, 2.0 mm, etc. Theinterval between two adjacent columns in the detecting unit array may beany suitable values, e.g., 0.5 mm, 1.0 mm, 2.0 mm, etc. In someembodiments, the interval between two adjacent columns may be equal tothe interval between two adjacent rows. In some embodiments, at a sametime point, the intensity of radiation rays received by each of theplurality of detecting units may be different. After a scan completes,the intensity of radiation rays received by each of the plurality ofdetecting units may be different or same. As shown in FIG. 17, themaximum intensity of radiation rays (also referred to as actual maximumintensity) may be 6 μSv received by the detecting units havingcoordinates (2, 1), (2, 3), and (3, 3). A desired value of a maximumintensity (i.e., reference maximum intensity) may be in a range between4 μSv and 5 μSv when a medical device is functioning well. Further, thereference maximum intensity may be determined as 4.5 μSv. If the medicaldevice is malfunctioning, the difference between the reference maximumintensity and the actual maximum intensity may be in a range of [−0.5μSv, 0.5 μSv]. The difference between the reference maximum intensity4.5 μSv and the actual maximum intensity 6 μSv exceeds the range of[−0.5 μSv, 0.5 μSv], which indicates that the medical device ismalfunctioning. Further, the malfunction of the medical device may bethe voltage loaded by a high-voltage generator is too high or the tubeis malfunctioning.

FIG. 18 is a schematic diagram illustrating an exemplary process fordetermining a size of a focus of the radiation rays according to someembodiments of the present disclosure. FIG. 18 shows an intensitydistribution of radiation rays received by a detector as described inFIG. 17. The position of a focus of the radiation rays may be denoted bythe position of a detecting unit having coordinates (2, 2). Area 1around the position of the focus is determined, in which the intensityof radiation rays received by each of the detecting units exceeds anintensity threshold 3 μSv. The size of Area 1 may be designated as thesize of the focus. That is, the size of the focus is 4 mm² (2.0 mm×2.0mm=4.0 mm²), also referred to as actual focus size. In some embodiments,the desired size of the focus may be between 4.4 mm² and 4.8 mm² whenthe medical device is functioning well. Accordingly, a reference size ofthe focus may be determined as 4.6 mm². The difference between thereference size of the focus and the actual focus size is −0.6 mm² (4.0mm²−4.6 mm²=−0.6 mm²). If the medical device is malfunctioning, thedifference between the reference size and the actual size may be in arange of [−0.2 mm², 0.2 mm²]. The difference −0.6 mm² exceeds the range[−0.2 mm², 0.2 mm²], which indicates that the medical device ismalfunctioning.

FIG. 19 is a schematic diagram illustrating an exemplary process fordetermining a position of a focus of the radiation rays according tosome embodiments of the present disclosure. FIG. 19 shows an intensitydistribution of radiation rays received by a detector as described inFIG. 17. As illustrated in FIG. 19, a point A (2, 2) is determined asthe position of the focus which has a maximum intensity, and a point B(3, 1) is determined as a reference position of the focus (or a desiredfocus position) when the medical device is functioning well. Thedistance between the point A (2, 2) and the point B (3, 1) may be√{square root over (2)} mm (√{square root over ((2−3)²+(2−1)²)}=√{squareroot over (2)} mm). If the medical device is malfunctioning, an offsetof the actual position of the focus from the desired focus position maybe in a range of [0, 1] denoted by Area 2. The center of the Area 2 ispoint B, and the radius of Area 2 is 1 mm. The distance between theactual position of the focus and the reference position of the focusexceeds the range [0, 1], that is, the position of the focus is outsidethe Area 2. The distance √{square root over (2)} mm exceeds the range[0, 1], that is, the position of the focus is outside Area 2, whichindicates that the medical device is malfunctioning. Further, the focusmay be generated by electrons emitted by a filament bombarding an anodetarget. The malfunction of the medical device may be short circuit ofthe filament or position offset of the anode target.

FIG. 20 is a schematic diagram illustrating an exemplary process fordetermining a vibration amplitude of a focus associated with theradiation rays according to some embodiments of the present disclosure.As illustrated in FIG. 20, X axis refers to a change cycle of a positionof a focus, and Y axis refers to a change of the position of the focus.A plurality of points, for example, a point A (227, 5.906), a point B(182, 6.223), a point C (1655, 5.787), a point D (1541, 6.331), a pointE (2615, 5.88), a point F (2578, 6.452) may be determined. The vibrationamplitude of the focus may be determined based on coordinates of theplurality of points. For example, a maximum amount of change of Y axiscoordinates of the plurality of points in the change cycle may bedetermined as the vibration amplitude of the focus. As illustrated inFIG. 20, the vibration amplitude of the focus may be 0.665 mm (6.452mm−5.787 mm=0.665 mm).

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure.

Having thus described the basic concepts, it may be rather apparent tothose skilled in the art after reading this detailed disclosure that theforegoing detailed disclosure is intended to be presented by way ofexample only and is not limiting. Various alterations, improvements, andmodifications may occur and are intended to those skilled in the art,though not expressly stated herein. These alterations, improvements, andmodifications are intended to be suggested by this disclosure, and arewithin the spirit and scope of the exemplary embodiments of thisdisclosure.

Moreover, certain terminology has been used to describe embodiments ofthe present disclosure. For example, the terms “one embodiment,” “anembodiment,” and “some embodiments” mean that a particular feature,structure or characteristic described in connection with the embodimentis included in at least one embodiment of the present disclosure.Therefore, it is emphasized and should be appreciated that two or morereferences to “an embodiment” or “one embodiment” or “an alternativeembodiment” in various portions of this specification are notnecessarily all referring to the same embodiment. Furthermore, theparticular features, structures or characteristics may be combined assuitable in one or more embodiments of the present disclosure.

Further, it will be appreciated by one skilled in the art, aspects ofthe present disclosure may be illustrated and described herein in any ofa number of patentable classes or context including any new and usefulprocess, machine, manufacture, or composition of matter, or any new anduseful improvement thereof. Accordingly, aspects of the presentdisclosure may be implemented entirely hardware, entirely software(including firmware, resident software, micro-code, etc.) or combiningsoftware and hardware implementation that may all generally be referredto herein as a “module,” “unit,” “component,” “device,” or “system.”Furthermore, aspects of the present disclosure may take the form of acomputer program product embodied in one or more computer readable mediahaving computer readable program code embodied thereon.

A computer readable signal medium may include a propagated data signalwith computer readable program code embodied therein, for example, inbaseband or as part of a carrier wave. Such a propagated signal may takeany of a variety of forms, including electro-magnetic, optical, or thelike, or any suitable combination thereof. A computer readable signalmedium may be any computer readable medium that is not a computerreadable storage medium and that may communicate, propagate, ortransport a program for use by or in connection with an instructionexecution system, apparatus, or device. Program code embodied on acomputer readable signal medium may be transmitted using any appropriatemedium, including wireless, wireline, optical fiber cable, RF, or thelike, or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of thepresent disclosure may be written in any combination of one or moreprogramming languages, including an object oriented programming languagesuch as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB. NET,Python or the like, conventional procedural programming languages, suchas the “C” programming language, Visual Basic, Fortran 2003, Perl, COBOL2002, PHP, ABAP, dynamic programming languages such as Python, Ruby andGroovy, or other programming languages. The program code may executeentirely on the user's computer, partly on the user's computer, as astand-alone software package, partly on the user's computer and partlyon a remote computer or entirely on the remote computer or server. Inthe latter scenario, the remote computer may be connected to the user'scomputer through any type of network, including a local area network(LAN) or a wide area network (WAN), or the connection may be made to anexternal computer (for example, through the Internet using an InternetService Provider) or in a cloud computing environment or offered as aservice such as a Software as a Service (SaaS).

Furthermore, the recited order of processing elements or sequences, orthe use of numbers, letters, or other designations therefore, is notintended to limit the claimed processes and methods to any order exceptas may be specified in the claims. Although the above disclosurediscusses through various examples what is currently considered to be avariety of useful embodiments of the disclosure, it is to be understoodthat such detail is solely for that purpose, and that the appendedclaims are not limited to the disclosed embodiments, but, on thecontrary, are intended to cover modifications and equivalentarrangements that are within the spirit and scope of the disclosedembodiments. For example, although the implementation of variouscomponents described above may be embodied in a hardware device, it mayalso be implemented as a software only solution, e.g., an installationon an existing server or mobile device.

Similarly, it should be appreciated that in the foregoing description ofembodiments of the present disclosure, various features are sometimesgrouped together in a single embodiment, figure, or description thereoffor the purpose of streamlining the disclosure aiding in theunderstanding of one or more of the various embodiments. This method ofdisclosure, however, is not to be interpreted as reflecting an intentionthat the claimed subject matter requires more features than areexpressly recited in each claim. Rather, claim subject matter lie inless than all features of a single foregoing disclosed embodiment.

We claim:
 1. A system for monitoring a medical device including a tubeconfigured to generate radiation rays and a detector configured toreceive radiation rays emitted from the tube, the tube including ananode target and a filament, the detector including a plurality ofdetecting units, comprising: a non-transitory computer-readable storagemedium storing executable instructions, and at least one processor incommunication with the computer-readable storage medium, when executingthe executable instructions, causing the system to: obtain imaging dataacquired by the detector via detecting radiation rays emitted from thetube; determine a first feature parameter associated with the radiationrays based on the imaging data; and monitor the medical device based onthe first feature parameter associated with the radiation rays.
 2. Thesystem of claim 1, wherein the imaging data includes an intensity ofradiation rays received by each of the plurality of detecting units anda position of each of the plurality of detecting units, and to determinea first feature parameter associated with the radiation rays based onthe imaging data, the at least one processor is further configured tocause the system to: determine an intensity distribution of theradiation rays received by the plurality of detecting units based on theimaging data; and determine the first feature parameter based on theintensity distribution of the radiation rays.
 3. The system of claim 2,wherein to monitor the medical device based on the first featureparameter associated with the radiation rays, the at least one processoris further configured to cause the system to: obtain a first referencevalue corresponding to the first feature parameter; compare the firstreference value and the first feature parameter; and determine whetherthe medical device is malfunctioning based on the comparison.
 4. Thesystem of claim 3, wherein the first feature parameter includes anintensity parameter relating to the radiation rays, the first referencevalue includes a reference intensity, and to determine whether themedical device is malfunctioning based on the comparison, the at leastone processor is further configured to cause the system to: determinethat the medical device is malfunctioning in response to a determinationthat a difference between the intensity parameter relating to theradiation rays and the reference intensity exceeds a first threshold. 5.The system of claim 4, wherein the intensity parameter relating to theradiation rays includes at least one of a maximum intensity of radiationrays received by one of the plurality of detecting units, a minimumintensity of radiation rays received by one of the plurality ofdetecting units, or an average intensity of radiation rays received bythe plurality of detecting units.
 6. The system of claim 2, wherein thefirst feature parameter includes a parameter of a focus of the radiationrays, and to determine whether the medical device is malfunctioningbased on the comparison, the at least one processor is furtherconfigured to cause the system to: determine that the medical device ismalfunctioning in response to a determination that the parameter of thefocus of the radiation rays exceeds a second threshold, wherein theparameter of the focus of the radiation rays includes at least one of aposition of the focus, a size of the focus, a shape of the focus, avibration frequency of the focus, or a vibration amplitude of the focus.7. The system of claim 6, wherein the at least one processor is furtherconfigured to cause the system to: estimate a service life of the anodetarget based on the parameter of the focus of the radiation rays.
 8. Thesystem of claim 6, wherein the at least one processor is furtherconfigured to cause the system to: adjust a parameter of a collimator ofthe medical device based on the parameter of the focus of the radiationrays, the parameter of the collimator including at least one of aposition of an opening of the collimator or a collimating width of thecollimator.
 9. The system of claim 8, wherein the at least one processoris further configured to cause the system to: increase the collimatingwidth of the collimator in response to a determination that thevibration amplitude of the focus exceeds the second threshold.
 10. Thesystem of claim 8, wherein the at least one processor is furtherconfigured to cause the system to: adjust the position of the opening ofthe collimator based on the position of the focus and the vibrationamplitude of the focus.
 11. The system of claim 2, wherein to monitorthe medical device based on the first feature parameter associated withthe radiation rays, the at least one processor is further configured tocause the system to: determine a second feature parameter associatedwith a component of the tube based on the first feature parameter; anddetermine whether the medical device is malfunctioning based on thesecond feature parameter.
 12. The system of claim 11, wherein todetermine whether the medical device is malfunctioning based on thesecond feature parameter, the at least one processor is furtherconfigured to cause the system to: obtain a second reference valuecorresponding to the second feature parameter; compare the secondreference value and the second feature parameter; and determine whetherthe medical device is malfunctioning based on the comparison.
 13. Thesystem of claim 12, wherein to determine whether the medical device ismalfunctioning based on the comparison, the at least one processor isfurther configured to cause the system to: determine that the medicaldevice is malfunctioning in response to a determination that adifference between the second reference value and the second featureparameter exceeds a third threshold.
 14. The system of claim 11, whereinthe second feature parameter includes at least one of a rotationfrequency of the anode target, a vibration amplitude of the anode targetwhen rotating, or a rotation speed of the anode target.
 15. The systemof claim 14, wherein the first feature parameter includes a position ofthe focus, and to determine a second feature parameter associated with acomponent of the tube based on the first feature parameter, the at leastone processor is further configured to cause the system to: determine achange cycle of the position of the focus; determine a vibrationfrequency of the focus based on the change cycle of the position of thefocus; and determine the rotation speed of the anode target based on thevibration frequency of the focus.
 16. The system of claim 14, whereinthe first feature parameter includes a position of the focus, and todetermine a second feature parameter associated with a component of thetube based on the first feature parameter, the at least one processor isfurther configured to cause the system to: determine a change cycle ofthe position of the focus; determine a change of the position of thefocus in the change cycle; and determine the vibration amplitude theanode target when rotating based on the change of the position of thefocus in the change cycle.
 17. The system of claim 1, wherein the atleast one processor is further configured to cause the system to:generate a malfunctioning alert in response to a determination that themedical device is malfunctioning.
 18. A method for monitoring a medicaldevice implemented on a system having one or more processors and anon-transitory computer-readable storage medium, the method comprising:obtaining imaging data acquired by the detector via detecting radiationrays emitted from the tube; determining a first feature parameterassociated with the radiation rays based on the imaging data; andmonitoring the medical device based on the first feature parameterassociated with the radiation rays.
 19. The method of claim 18, whereinmonitoring the medical device based on the first feature parameterassociated with the radiation rays comprises: determining a secondfeature parameter associated with a component of the tube based on thefirst feature parameter; and determining whether the medical device ismalfunctioning based on the second feature parameter.